{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![alt text](https://github.com/callysto/callysto-sample-notebooks/blob/master/notebooks/images/Callysto_Notebook-Banner_Top_06.06.18.jpg?raw=true)  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 align='center'>Environment Canada Weather Data Notebook Demo</h1>\n",
    "\n",
    "<h4 align='center'>Adapted from Laura Gutierrez Funderburk $\\mid$ Data Exploration $\\mid$ Canada Historical Climate Data</h4>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 align='center'>Download data by province and get station numbers</h3>\n",
    "\n",
    "In this first part of the notebook, we will download data from http://climate.weather.gc.ca/historical_data/search_historic_data_e.html. \n",
    "The set of functions is predefined in **notebook_code** directory **weather.py** file.\n",
    "\n",
    "First we will call **download_raw_data()** function, giving it province name and start year, it will download raw html.\n",
    "\n",
    "Second we call **generate_pandas_dataframe_from_html()** function, giving it raw html (result from previous function), it will convert it to dataframe extracting Station Numbers and frequency with which the data was collected. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us take the province Ontario, start year 2011 and download stations metadata."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: fuzzywuzzy in /home/jupyter/.local/lib/python3.6/site-packages (0.17.0)\n",
      "Requirement already satisfied: python-Levenshtein in /home/jupyter/.local/lib/python3.6/site-packages (0.12.0)\n",
      "Requirement already satisfied: setuptools in /opt/conda/lib/python3.6/site-packages (from python-Levenshtein) (40.6.3)\n",
      "Requirement already satisfied: tqdm in /home/jupyter/.local/lib/python3.6/site-packages (4.28.1)\n"
     ]
    }
   ],
   "source": [
    "## Install missing python libraries\n",
    "!pip install fuzzywuzzy --user\n",
    "!pip install python-Levenshtein --user\n",
    "!pip install tqdm --user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import helper functions\n",
    "from notebook_code.weather import *\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specify Parameters\n",
    "province = \"ON\"      # Which province to parse?\n",
    "start_year = \"2011\"  # Looking for stations with data available between 2011 and 2019. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We download raw html pages\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "71ce89c83acd49a19be602ec683f7681",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Downloading Data', max=4, style=ProgressStyle(description_wid…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# Use download_raw_data() function to download raw html\n",
    "html_frames = download_raw_data(province,start_year)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We convert the html pages into DataFrames. A **DataFrame** is a commonly encountered way to work with data. It can be thought of as a 2D data structure that makes it easy to work with the data at hand."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2e890e0e9e8948c88a1f119a4c964c06",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Generating Pandas DataFrames', max=4, style=ProgressStyle(des…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# Use generate_pandas_dataframe_from_html to convert html into dataframe\n",
    "stations_df = generate_pandas_dataframe_from_html(html_frames)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We preview the first five entries. In the table below you can see five columns: the StationsID will be the key part to accessing full data sets. The Name contains city names found under ON, the Intervals column states the frequency with which the data was updated, while Year Start and Year end state the years between which the data was collected.\n",
    "This result should be equivalent to this [web-page](http://climate.weather.gc.ca/historical_data/search_historic_data_stations_e.html?searchType=stnProv&timeframe=1&lstProvince=ON&optLimit=yearRange&StartYear=2011&EndYear=2019&Year=2019&Month=2&Day=14&selRowPerPage=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>StationID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Intervals</th>\n",
       "      <th>Year Start</th>\n",
       "      <th>Year End</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>42967</td>\n",
       "      <td>ALGONQUIN PARK EAST GATE</td>\n",
       "      <td>[Hourly, Daily, Monthly]</td>\n",
       "      <td>2004</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4607</td>\n",
       "      <td>AMHERSTBURG</td>\n",
       "      <td>[Daily, Monthly]</td>\n",
       "      <td>1988</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6901</td>\n",
       "      <td>APPLETON</td>\n",
       "      <td>[Daily, Monthly]</td>\n",
       "      <td>1992</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3987</td>\n",
       "      <td>ARMSTRONG (AUT)</td>\n",
       "      <td>[Hourly, Daily, Monthly]</td>\n",
       "      <td>1953</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>52900</td>\n",
       "      <td>ARMSTRONG A</td>\n",
       "      <td>[Hourly, Daily]</td>\n",
       "      <td>2015</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  StationID                      Name                 Intervals Year Start  \\\n",
       "0     42967  ALGONQUIN PARK EAST GATE  [Hourly, Daily, Monthly]       2004   \n",
       "1      4607               AMHERSTBURG          [Daily, Monthly]       1988   \n",
       "2      6901                  APPLETON          [Daily, Monthly]       1992   \n",
       "3      3987           ARMSTRONG (AUT)  [Hourly, Daily, Monthly]       1953   \n",
       "4     52900               ARMSTRONG A           [Hourly, Daily]       2015   \n",
       "\n",
       "  Year End  \n",
       "0     2019  \n",
       "1     2019  \n",
       "2     2019  \n",
       "3     2019  \n",
       "4     2019  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Preview first 5 rows, you can add number in parentheses and view more row: for example head(10)\n",
    "stations_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now pick only those entries that belong to Toronto. Note that the function will pick up every station containing word \"Toronto\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>StationID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Intervals</th>\n",
       "      <th>Year Start</th>\n",
       "      <th>Year End</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>52641</td>\n",
       "      <td>PA SCARBOROUGH TORONTO HUNT</td>\n",
       "      <td>[Hourly]</td>\n",
       "      <td>2014</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>52640</td>\n",
       "      <td>PA TORONTO HYUNDAI</td>\n",
       "      <td>[Hourly]</td>\n",
       "      <td>2014</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>52731</td>\n",
       "      <td>PA TORONTO INTERNATIONAL TRAP AND SKEET</td>\n",
       "      <td>[Hourly]</td>\n",
       "      <td>2014</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>52678</td>\n",
       "      <td>PA TORONTO NORTH YORK MOTORS</td>\n",
       "      <td>[Hourly]</td>\n",
       "      <td>2014</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>5051</td>\n",
       "      <td>TORONTO</td>\n",
       "      <td>[Hourly, Daily, Monthly]</td>\n",
       "      <td>1953</td>\n",
       "      <td>1969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>53678</td>\n",
       "      <td>TORONTO BUTTONVILLE A</td>\n",
       "      <td>[Hourly, Daily]</td>\n",
       "      <td>2015</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>4841</td>\n",
       "      <td>TORONTO BUTTONVILLE A</td>\n",
       "      <td>[Hourly, Daily, Monthly]</td>\n",
       "      <td>1986</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>54239</td>\n",
       "      <td>TORONTO BUTTONVILLE A</td>\n",
       "      <td>[Hourly, Daily]</td>\n",
       "      <td>2016</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>31688</td>\n",
       "      <td>TORONTO CITY</td>\n",
       "      <td>[Hourly, Daily, Monthly]</td>\n",
       "      <td>2002</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>48549</td>\n",
       "      <td>TORONTO CITY CENTRE</td>\n",
       "      <td>[Hourly, Daily]</td>\n",
       "      <td>2009</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>30247</td>\n",
       "      <td>TORONTO CITY CENTRE</td>\n",
       "      <td>[Hourly, Daily, Monthly]</td>\n",
       "      <td>2006</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>45967</td>\n",
       "      <td>TORONTO EAST YORK DUSTAN</td>\n",
       "      <td>[Daily]</td>\n",
       "      <td>2007</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>51459</td>\n",
       "      <td>TORONTO INTL A</td>\n",
       "      <td>[Hourly, Daily]</td>\n",
       "      <td>2013</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>5097</td>\n",
       "      <td>TORONTO LESTER B. PEARSON INT'L A</td>\n",
       "      <td>[Hourly, Daily, Monthly]</td>\n",
       "      <td>1953</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>26953</td>\n",
       "      <td>TORONTO NORTH YORK</td>\n",
       "      <td>[Daily, Monthly]</td>\n",
       "      <td>1994</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>41863</td>\n",
       "      <td>TORONTO SOLAR RADIATION</td>\n",
       "      <td>[Daily]</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    StationID                                     Name  \\\n",
       "203     52641              PA SCARBOROUGH TORONTO HUNT   \n",
       "205     52640                       PA TORONTO HYUNDAI   \n",
       "206     52731  PA TORONTO INTERNATIONAL TRAP AND SKEET   \n",
       "207     52678             PA TORONTO NORTH YORK MOTORS   \n",
       "307      5051                                  TORONTO   \n",
       "308     53678                    TORONTO BUTTONVILLE A   \n",
       "309      4841                    TORONTO BUTTONVILLE A   \n",
       "310     54239                    TORONTO BUTTONVILLE A   \n",
       "311     31688                             TORONTO CITY   \n",
       "312     48549                      TORONTO CITY CENTRE   \n",
       "313     30247                      TORONTO CITY CENTRE   \n",
       "314     45967                 TORONTO EAST YORK DUSTAN   \n",
       "315     51459                           TORONTO INTL A   \n",
       "316      5097        TORONTO LESTER B. PEARSON INT'L A   \n",
       "317     26953                       TORONTO NORTH YORK   \n",
       "318     41863                  TORONTO SOLAR RADIATION   \n",
       "\n",
       "                    Intervals Year Start Year End  \n",
       "203                  [Hourly]       2014     2015  \n",
       "205                  [Hourly]       2014     2015  \n",
       "206                  [Hourly]       2014     2015  \n",
       "207                  [Hourly]       2014     2015  \n",
       "307  [Hourly, Daily, Monthly]       1953     1969  \n",
       "308           [Hourly, Daily]       2015     2019  \n",
       "309  [Hourly, Daily, Monthly]       1986     2015  \n",
       "310           [Hourly, Daily]       2016     2019  \n",
       "311  [Hourly, Daily, Monthly]       2002     2019  \n",
       "312           [Hourly, Daily]       2009     2019  \n",
       "313  [Hourly, Daily, Monthly]       2006     2010  \n",
       "314                   [Daily]       2007     2015  \n",
       "315           [Hourly, Daily]       2013     2019  \n",
       "316  [Hourly, Daily, Monthly]       1953     2013  \n",
       "317          [Daily, Monthly]       1994     2019  \n",
       "318                   [Daily]       2018     2018  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select subset of the data from a specific location and preview the result\n",
    "Toronto_data = get_weather_data_by_loc(stations_df,location_name=\"Toronto\")\n",
    "Toronto_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise: \n",
    "Try extracting rows for other city, replace ?? with the city name (we have only data from Ontario):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note that if the result is empty - it means no data is found\n",
    "other_city_data = get_weather_data_by_loc(stations_df,location_name=\"??\")\n",
    "other_city_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 align='center'>Download temperature data by Station</h3>\n",
    "\n",
    "In the second  part of the notebook, we will download hourly temperatures data using StationID we got in the first part. \n",
    "  \n",
    "For Toronto there are several stations collecting data, we will choose station **TORONTO CITY CENTRE - 48549** \n",
    "  \n",
    "First we will call **download_data_date_range()** giving it StationID and dates range in  format \"mmmYYYY\". We will collect and compare data for 3 winters  - 2016, 2017 and 2018. \n",
    "  \n",
    "Then we will use **matplotlib** to plot the results. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4d8d8dd3efdf4d10a3f685e428aa3f45",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Downloading Data', max=3, style=ProgressStyle(description_wid…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a5bc6cc2ede64ad4bae8ef3d5c91f9ac",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Downloading Data', max=3, style=ProgressStyle(description_wid…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9bd641d110ea4e4d81bed3264e1f2115",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Downloading Data', max=3, style=ProgressStyle(description_wid…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "## Use download_data_date_range() function to collect hourly temperaure from Dec2015 to Feb2016\n",
    "winter_2016 = download_data_date_range(48549,\"Dec2015\",\"Feb2016\")\n",
    "winter_2017 = download_data_date_range(48549,\"Dec2016\",\"Feb2017\")\n",
    "winter_2018 = download_data_date_range(48549,\"Dec2017\",\"Feb2018\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Time</th>\n",
       "      <th>Temp (°C)</th>\n",
       "      <th>Temp Flag</th>\n",
       "      <th>Dew Point Temp (°C)</th>\n",
       "      <th>Dew Point Temp Flag</th>\n",
       "      <th>Rel Hum (%)</th>\n",
       "      <th>...</th>\n",
       "      <th>Wind Spd Flag</th>\n",
       "      <th>Visibility (km)</th>\n",
       "      <th>Visibility Flag</th>\n",
       "      <th>Stn Press (kPa)</th>\n",
       "      <th>Stn Press Flag</th>\n",
       "      <th>Hmdx</th>\n",
       "      <th>Hmdx Flag</th>\n",
       "      <th>Wind Chill</th>\n",
       "      <th>Wind Chill Flag</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-12-01 00:00:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>00:00</td>\n",
       "      <td>2.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-12-01 01:00:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>01:00</td>\n",
       "      <td>3.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-12-01 02:00:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>02:00</td>\n",
       "      <td>3.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-12-01 03:00:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>03:00</td>\n",
       "      <td>3.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-12-01 04:00:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>04:00</td>\n",
       "      <td>3.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date/Time  Year  Month  Day   Time  Temp (°C)  Temp Flag  \\\n",
       "0 2015-12-01 00:00:00  2015     12    1  00:00        2.3        NaN   \n",
       "1 2015-12-01 01:00:00  2015     12    1  01:00        3.1        NaN   \n",
       "2 2015-12-01 02:00:00  2015     12    1  02:00        3.4        NaN   \n",
       "3 2015-12-01 03:00:00  2015     12    1  03:00        3.9        NaN   \n",
       "4 2015-12-01 04:00:00  2015     12    1  04:00        3.9        NaN   \n",
       "\n",
       "   Dew Point Temp (°C) Dew Point Temp Flag  Rel Hum (%)   ...     \\\n",
       "0                  0.2                 NaN         86.0   ...      \n",
       "1                  1.5                 NaN         89.0   ...      \n",
       "2                  2.2                 NaN         92.0   ...      \n",
       "3                  3.6                 NaN         98.0   ...      \n",
       "4                  3.8                 NaN         99.0   ...      \n",
       "\n",
       "  Wind Spd Flag  Visibility (km) Visibility Flag  Stn Press (kPa)  \\\n",
       "0           NaN             16.1             NaN           101.35   \n",
       "1           NaN             16.1             NaN           101.27   \n",
       "2           NaN             16.1             NaN           101.20   \n",
       "3           NaN             16.1             NaN           101.17   \n",
       "4           NaN             16.1             NaN           100.98   \n",
       "\n",
       "   Stn Press Flag  Hmdx  Hmdx Flag  Wind Chill  Wind Chill Flag  Weather  \n",
       "0             NaN   NaN        NaN         NaN              NaN      NaN  \n",
       "1             NaN   NaN        NaN         NaN              NaN      NaN  \n",
       "2             NaN   NaN        NaN         NaN              NaN      NaN  \n",
       "3             NaN   NaN        NaN         NaN              NaN      NaN  \n",
       "4             NaN   NaN        NaN         NaN              NaN      NaN  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Preview first 5 rows for winder2016: we are interested only in  Date/Time and Temp (°C) columns\n",
    "winter_2016.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise\n",
    "Try downloading data for summer 2015  for the same station:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INVALID INPUT. ENTER AN INTEGER FOR stationID, A STRING FOLLOWING THE FORMAT MonYEAR, i.e. Jun2015\n"
     ]
    }
   ],
   "source": [
    "#replace ?? with  months  names - starting month and end month\n",
    "summer_2015 = download_data_date_range(48549,\"??\",\"??\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Check yourself: preview first 5 rows for summer_2015\n",
    "summer_2015.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will use **matplotlib** library to plot this data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Define matplotlib parameteres\n",
    "%matplotlib inline  \n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will plot winter 2016 temperatures first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,5))                                   # set matplotlib figure size\n",
    "# Plot two columns: Date/Time and Temp using color green - \"g\"\n",
    "plt.plot(winter_2016['Date/Time'], winter_2016['Temp (°C)'],\"g\", label='Hourly Temperature',alpha=0.4) #alpha=0.4 - transparency\n",
    "plt.title(\"Hourly temperatures - Toronto(Winter 2016)\")             # plot title\n",
    "plt.ylabel('Temp (°C)')                                            # y axis label\n",
    "plt.xlabel('Time')                                                 # x axis label\n",
    "plt.legend()                                                       # show the legend\n",
    "plt.show()                                                         # display the plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we create exactly the same plot + add daily average:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,5))\n",
    "plt.plot(winter_2016['Date/Time'], winter_2016['Temp (°C)'],\"g\", label='Hourly temperature',alpha=0.4) \n",
    "plt.title(\"Hourly temperatures - Toronto(Winter 2016)\")\n",
    "plt.ylabel('Temp (°C)')\n",
    "plt.xlabel('Time')\n",
    "plt.legend()\n",
    "\n",
    "## This is a new line calculating averages every 24 poins(hours)\n",
    "plt.plot(winter_2016['Date/Time'], winter_2016['Temp (°C)'].rolling(window=24,center=False).mean(),'g', label='Average daily temperature')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise: \n",
    "Try plotting weather from another dataset(winter2017 or summer2015)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will plot and compare all 3 winters, we will draw vertical lines to visualy distinguish between 3 winter months."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WLUN+fj5GjRpV5nUWtXz5cjAMw1sXW1cjIyPesuzroi0s5XH06FG0bNmyxIFdAMDW1hYLFy7kXhcUFKBNmzbo3Lkzrl69im7duvGWHzNmDBcAdujQAREREThx4gRXtmfPHuTk5GDnzp3c31OHDh14/UPL4uDBg4iKisLq1au5sk99H4yMjMr1fTAzM8PBgwcxadIkrt+wQCDAlClTMG7cuE9+1s3NDbm5uYiKikL79u1x69YtNGvWDGZmZoiIiICnpydevnyJxMREuLm5lViX3r17Y9q0aQBkx+7hw4c4ceIEpk2bBn19fS4ga9KkCZydnbnPxcXFYefOnZg8eTKmTJnClTdu3BjDhg3DpUuXeH2iGYZBSEjIJ29yK3J7QqEQmzdv5rIDYmJisHv3bkyfPh2TJk0CALRv3x7nzp3D6dOn5YJCLy8vzJ07FwDg6ekJgUCAjRs3YsKECbCxscHff/+Ne/fu4bfffuOutx4eHgBkQcK4ceNQp04dbn1OTk5YsWIFbxvt2rXj9TFzcXFBw4YNMXz4cDx58gQtW7ZE06ZNoa+vj/z8fN7xKA8zMzNs2rSJl2UQGBgIhmGwb98+mJiYAAA6deqEDx8+YOPGjejSpQtSUlLw+vVrbN68mddvuE+fPuWqR2mu9Z+D7T+7e/du6OnpAZCdGx8fH2zevBlr167lls3IyMD69evRqVMnruzRo0c4d+4cZs2ahfHjxwMA97AlODgY48aN4z04srGxwS+//MK9TkxMxIYNG5CWlgZjY2OupdDS0pJ3DsViMTZt2gRPT0/eNadhw4YYM2YMjh49iiFDhnz28SCkOqP0UULK4M6dO+jcuTPvplRfXx8+Pj5yo5np6urybjLYH64OHTrwgj9bW1vk5+cjMTGR93lvb28uIASA+vXro3Xr1oiKiuLKEhIS4O/vz6XVtGrVCr/++itEIpFcykvr1q1LHazp6OjwbgiEQiEaN26Md+/ecWVRUVHw9vbmpf1ZWFjAxcWlVNso7Pjx49i2bRsmTZoEV1dXrpxNPSyanln4vbJiGAZZWVlYtmwZBg8eDA8PDyxduhSdOnXCtm3byr1e1tatW/H3339j0aJFaNSokVx9Fe1LRYiKisKrV68wYMCAUn9m//796Nu3L1xcXNCyZUt07twZgCw9rSj2PVazZs1434fIyEi0bt2a94BFV1e3xFRiRSIiIvDTTz+hX79+vHTbyvg+pKSkYMqUKdDR0cHGjRuxd+9eTJw4EcHBwXLpjEU1b94cxsbGuHXrFgDZYEfu7u5wd3fnlWlqavK+18Upeozt7Ox4x7g4N2/ehFQqRd++fZGfn8/9a926NfT19eWuTZ06dfqsVo+ybq9Dhw68dHH2Wsje3AOy9PFGjRopbFn+8ssvea979eoFqVTKpe1fu3YN1tbWcHFx4dWnY8eOkEgkvGsmALkHHoAsKAgODkbPnj3h5OSEVq1acZkDiv4ePleXLl3kvsfXrl2Dt7c3DAwMePvh6emJp0+fIjMzEyYmJmjQoAHWrl2LQ4cO4fXr159Vj9Jc6z/HnTt30KVLFy4gBABjY2N4e3vj9u3bcnUpHBACsmwBAHJp9+xr9n1W0QcKdnZ2AFBixkJMTAzS0tLkttOhQweYmZnJ1ZWQ2ohaColKMzY2hra2dql/ANPT0xUGVmZmZnKtFAYGBrzXQqEQgHwrB9s3qugok4WfbBfeDpuGKJVKMXHiRCQkJGDq1KmwtbWFlpYWzp8/j+DgYLn1laX1TlFLjFAo5I10mZiYCFNTU4V1LMtQ5BcvXsT8+fMxaNAgrpWExbaiKWoBysjIkGt1Kw029ZbtS8Ty9PTEtWvXkJCQgLp165Z5vQBw4MABrFu3DjNmzJAbnbBwi2DhdD1239h6lVdYWBg0NTXRu3fvUi2/b98+/PTTTxgzZgw8PT1haGgIhmEwePBghSOeFj3Wir4PRdM6AcXf4095+PAhJk6cCHd3d7nWHPYYKfo+iEQirmWrLLZv3463b9/i0qVL3D66ublBKpVi48aNGDRokMLvOSDrt9iuXTtERESgoKAAd+/exaBBg2BmZoYNGzYgMzMTERERcHBw4D3gKU5Jx7g47AMgRcEOIN8K/bmjQpZ1e8Vd84rur6ampsLvnpmZGe81+51i+7+mpKTg7du3aNWqVanqo+hauG7dOvz2229c30U9PT3Ex8djypQpnxwBuLwUnYOUlBSEhYUhLCxM4WdSU1Ohr6+PXbt2ITAwEGvXrkVaWhrq16+PsWPH8kYwLq3SXOvLq6CgAFlZWaX+zSx6noGP567oe+w6i55bRX9DgPzva1FsXRSdF0V1JaQ2oqCQqDQNDQ20b98eN27c4PoFfYqRkRGSkpLkypOSksoVoHyKos7tSUlJXMDy5s0b/PPPPwgICOD1V7p06ZLC9VV0C5W5ubncADlsHUsrPDwc06dPR9euXbk+OoWxQcaLFy94LZBxcXHIyckpVxDQtGlTuZYD4GNLU3kHeQkLC8PSpUvh5+eHiRMnyr1feF8K33iw/eAK960pK7FYjFOnTsHLy6vYAKaoEydOwMPDg9ff6nPmozM3N1f4nS3LIA3Pnj3Dd999hxYtWiAwMJA3mAwg60sqFAq5ByOsvLw8xMbGomfPnmWu9/Pnz9GoUSO5v19HR0dIJBK8efPmk8fUzc0Nv/zyC+7du4esrCy0b98eenp60NHRwe3bt3H79u1KTztjg+WQkBCFN/mf+8BB2dtLSkriPXBgv1PstdDY2Bj169fnTUlSWNH+04quhSdOnEC/fv24dFYAXGtvabB9cIv+jhSXFq6oDsbGxmjbtm2xacvs/jZo0AABAQFgGAZPnz7Fb7/9hqVLl8La2lqupUyZ1NXVoaenV+xvZtHvSXHHBJCd88IP69jMGjbN9nOxf/9FM3bYuip64EVIbUPpo0TljR8/HmlpaQgICFD4fmxsLDcRebt27XDlyhXeHE2ZmZm4dOkS2rdvX6H1unLlCrKzs7nXcXFxePDgAdcPgh19r/CNs0QiwfHjxyu0HsVxdnbGlStXeKMsJiQk4P79+6X6fGRkJCZNmgQPDw+sXr1aYTBmZWWF5s2b49ixY7zyY8eOQVNTE15eXmWuN9u6cf36dV759evXYWlpWa7+kOfOncOCBQvwzTffcH2finJ2doaJiYnc+Tl27BiMjY3Rpk2bMm+XdfHiRaSlpZUpdTQ3N1duBNjPmdjaxcUFDx484KVpZWdn4+LFi6X6/OvXr+Hn54f69etj69atCtMbhUIhOnXqhNOnT/NGHjx9+jTEYnG5UlXNzc3x33//ybUEsKmJJbUau7m5QSKRYPPmzWjZsiUMDQ2hrq4OV1dX7N27F6mpqRXSNwv42OpRdOTNjh07Qk1NDe/evYOjo6Pcv/LOMVjV2yvOqVOneK9PnDgBNTU1rn8Y2+9OV1dXYX1K86CktH8PQqFQYasTmzZd+IGFSCQqdn5MRTp16oRnz56hWbNmCvej6ENLgUCAFi1aYP78+XLbri7at2+Pixcv8n4n0tPTcfXq1VLNE8guc+LECV45ex0tTVp2YZqamhAIBHLnsFmzZjA2NsbJkyd55eHh4UhKSqrw33dCqiNqKSQqr127dpg3bx5+/vlnvHz5EgMGDICVlRXS09MRHh6Ov/76C2vWrEHz5s0xadIkXL58GaNHj8a4ceMgEAiwfft25OTklDhSYVlpa2vDz88P3333HcRiMTZu3Ah9fX1uCHxbW1tYW1tj/fr1UFNTg4aGBvbs2VOhdfiUiRMn4syZMxg7diz8/Py40UfNzMxKbJV8+fIlJkyYABMTE4wdO1ZuePLCAwDMnDkTEyZMgL+/P3r16oXo6Ghs2bIFvr6+vAAuJSWF6/fx/v175OTk4PTp0wBkrYNsq6K3tzfc3NywePFipKamokGDBjhz5gyuX78uN5Kdvb09BgwYwI1yqMidO3cwc+ZMbtnCrZBCoRAtW7YEILsZmT59OpYuXQoLCwt06NABt27dwuHDh7Fo0SLeDd/bt2/x6NEjALKWBjU1NW5fHB0d5Vo+wsLCuH46pdWpUyds374dwcHBcHJywq1bt3DmzJlSf76oUaNGYf/+/fDz88PUqVO50UdL03ctOTkZfn5+kEgkmDZtmtwooi1btuSOz9SpUzFkyBDMmDEDw4cPR1xcHFavXo0ePXrAwcGB+0xOTg6uXLkC4GOfMPYYWltbc6NpDh06FMePH4efnx/Gjh0LExMTREREICQkBN26deNGJiyOnZ0d6tSpg/DwcIwdO5YrZ1sQhUJhufrZKtK4cWNoaGjg8OHDMDIyglAohI2NDRo2bIhx48Zh+fLlePXqFdq3b8+NZnnjxg1888035QpMq3p7xbl69Sp++eUXeHp64uHDh9i0aRP69+8PGxsbALJBVkJDQzF69Gj4+fmhefPmEIvFiI2NxcWLF7Fp0yaFU54U1qlTJ4SFhcHOzg6NGjXC2bNnFQZ0TZo0wf79+3Hy5Ek0aNAAenp6sLW1hZeXFwwMDLBo0SJMnToVYrEYO3bsKFXaMGvatGn45ptvMHz4cIwYMQLW1tYQiUR4/vw5YmNjsWrVKjx9+hQrVqzAV199hUaNGqGgoABHjhyBhoZGhR7zijJ58mR8++23GDNmDMaOHQupVIrg4GBIpVJeq2xxHBwc0K1bN6xbt46bUuLu3bvYtm0bBg4cyH0HSktNTQ02Nja4cOEC3N3doa+vzz0MnDx5MlasWIH58+fjyy+/5EYfbdq0qVxfQ0JqIwoKCQEwevRoODk5Yffu3QgICEBqair09PTg4OCApUuXci0QzZs3x759+7B+/XrMmzcPDMOgdevW+O2333jTUVSE/v37Q0dHB8uWLUNqaiocHR2xfv16Lp1GKBRi06ZNWLZsGebOnQsjIyN8/fXXsLKy4o0qWVmaNm2KrVu3IiAgADNmzEDdunUxbtw4XLt2DW/fvv3kZx88eID09HSkp6dzc6EV9uzZM+7/3t7e2LhxI4KCghAaGgozMzNMmDBBLkUzJiYG06dP55Wxr6dMmYKpU6cCkD1dZ0e9CwwMhEgkgo2NDdasWcMbwY9tpVXUz6WwW7duQSwW48mTJ3JzH1pbW/Nayr799lsIBALs2rWLG6Vz0aJFclNhREREcE//i+7LqlWreFNdpKSk4Nq1axg6dGiJ6c+FTZ48GSKRCLt370ZeXh7at2+PHTt28EaNLAtTU1Ps3r0bK1aswNy5c2FsbIyhQ4eioKAAmzZt+uRnX7x4wX1nJkyYIPf+hQsXUL9+fQBAixYtsHPnTqxZswbjx4+HgYEB+vXrh5kzZ/I+w86BVxj7unCg7+zsjN9//x2bNm3CypUrkZmZCWtra0yaNAl+fn6l2vf27dvj1KlTvJty9v/Ozs4VNpS9iYkJFi1ahO3bt8PX1xcFBQXYu3cv3NzcMHPmTNja2mL//v3Yv38/BAIBLC0t4eHhgcaNG9eI7RVn9erVCAkJwR9//AFNTU25FnlNTU3s3LkT27Ztw8GDBxEXFwddXV00aNAAnTt3lktDVmThwoVgGIZLQfXy8sLatWvxzTff8JYbN24cXr16hf/973/Izs5G+/btsW/fPhgaGiI4OBirVq3CjBkzYGlpiUmTJiE8PLzUg5RYWVnh8OHDCAwMxLp165CamgpjY2M0a9aMm2bG3NwcVlZW2L17Nz58+AAtLS3Y2dkhODiY91CkunB0dMSePXvw66+/Ys6cORAIBHBxccFPP/1U6pT5devWYePGjTh48CA2bdoECwsLTJw4UWGafmksWbIEK1euxLhx4yCRSLiRTUeOHAk9PT3s3r0bx48fh76+Pjp37ow5c+bQdBREJQiYzx1qjxBS4ezt7fH999/jhx9+UHZVyiQrKwvdu3eHt7c3Vq5cqezqfJbr16/j+++/x/nz52Fpaans6hCickJDQzF//nycPXuWN5IvIYSQikcthYSQclu+fDlcXFxgYWGBhIQE7N27t9jWv5rmzp07GDBgAAWEhBBCCKn1KCgkhJRbXl4e1qxZg6SkJGhqanIpuBWdSqsMNa2VlhBCCCGkvCh9lBBCCCGEEEJUGE1JQQghhBBCCCEqjIJCQgghhBBCCFFhFBQ26eHCAAAgAElEQVQSQgghhBBCiAqjoJAQQgghhBBCVBgFhYQQQgghhBCiwigoJIQQQgghhBAVRkEhIYQQQgghhKgwCgoJIYQQQgghRIVRUEgIIYQQQgghKoyCQkIIIYQQQghRYRQUEkIIIYQQQogKo6CQEEIIIYQQQlQYBYWEEEIIIYQQosIoKCSEEEIIIYQQFUZBISGEEEIIIYSoMAoKCSGEEEIIIUSFUVBICCGEEEIIISqMgkJCCCGEEEIIUWEUFBJCCCGEEEKICqOgkBBCCCGEEEJUGAWFhBBCCCGEEKLCKCgkhBBCCCGEEBVGQSEhhBBCCCGEqDAKCgkhhBBCCCFEhVFQSAghhBBCCCEqjIJCQgghhBBCCFFhFBQSQgghhBBCiAqjoJAQQgghhBBCVBgFhYQQQgghhBCiwigoJIQQQgghhBAVRkEhIYQQQgghhKgwCgoJIYQQQgghRIVRUEgIIYQQQgghKoyCQkIIIYQQQghRYRQUEkIIIYQQQogKo6CQEEIIIYQQQlQYBYWEEEIIIYQQosIoKCSEEEIIIYQQFUZBISGEEEIIIYSoMAoKCSGEEEIIIUSFUVBICCGEEEIIISqMgkJCCCGEEEIIUWEUFBJCCCGEEEKICqOgkBBCCCGEEEJUGAWFhBBCCCGEEKLCKCgkhBBCCCGEEBVGQSEhhBBCCCGEqDAKCgkhhBBCCCFEhVFQSAghhBBCCCEqjIJCQgghhBBCCFFhFBQSQgghhBBCiAqjoJAQQgghhBBCVBgFhYQQQgghhBCiwigoJIQQQgghhBAVRkEhIYQQQgghhKgwDWVXoCJERUVBS0tL2dVQaXl5eXQOahk6pxXn2bNnAAB7e3ul1oPOae1D57RmKc21gM5p7UPntHaqjuc1Ly8Pzs7O5fqsgGEYpoLrU+Wio6PRokULZVdDpdE5qH3onFaczp07AwAuX76s1HrQOa196JzWLKW5FtA5rX3onNZO1fG8fk6dKH2UEEIIIYQQQlQYBYWEEEIIIYQQosIoKCSEEEIIIYQQFVYrBpohhBBCCCGEVD2JRIK4uDjk5uYquypVSiKRIDo6Winb1tbWRv369aGpqVlh66SgkBBCCCGEEFIucXFxMDAwQOPGjSEQCJRdnSqTk5MDHR2dKt8uwzBITk5GXFwcbGxsKmy9lD5KCCGEEEIIKZfc3FzUqVNHpQJCZRIIBKhTp06Ft8xSUEgIIYQQQggpNwoIq1ZlHG8KCgkhhBBCCCFEhVFQSAghhBBCCKmRVq5cid27d3Ovx44di//973/c659//hnBwcGYNm1aiesKDg4uVx1mzZqFHj16oHfv3pg/fz4kEgkAWf+/n376Cd26dUOfPn3w+PFjXj1dXV0xYcIE3roYhsH69evRo0cPfPnll9i7d2+56lRWFBQSQgghhBBCaiQXFxdERkYCAKRSKVJTU/HixQvu/cjISHh4eGDjxo0lrmvr1q1l3n5BQQH69u2L06dP4/jx48jLy8Off/4JALh69Spev36Ns2fPYvny5ViyZAn3ue+++w4BAQFy6wsNDcX79+9x6tQpnDp1Cr169SpzncqDgkJCCCGEEEJIjdSmTRsuKIyJiUGzZs2gp6eH9PR0iMVivHz5EoaGhujduzcAWdA1ZcoUjB07Ft27d+cCszVr1iA3Nxf9+vXDrFmzAABHjx7FoEGD0K9fP/j7+6OgoACALBDdvHkzvvnmG0RGRsLb2xsCgQACgQBOTk6Ij48HAFy4cAH9+/eHQCCAs7MzRCIREhISAAAeHh7Q09OT258DBw5g8uTJUFOThWl16tSpxKP3EU1JQQghhBBCCPlsJ56fwNFnRyt0nf3s+6GXXfGtZXXr1oWGhgbevXuHyMhIODs7Iz4+HlFRUdDX14e9vb3cfH7R0dEICwuDUChEz5494evri9mzZ+P333/H0aOy+r98+RKnTp3CgQMHoKmpiSVLluD48ePo378/srOz0aRJEy54ZEkkEhw9epRLX42Pj4elpSX3vqWlJeLj42FhYVHs/sTGxuLkyZM4d+4cTE1NsXDhQjRu3Lish63MKCgkhBBCCCGE1FhsCmlkZCTGjBmD+Ph43L9/HwYGBnBxcZFb3sPDAwYGBgCAJk2a4O3bt6hXrx5vmfDwcPzzzz8YNGgQgI9TbwCAuro6unbtKrfepUuXwtXVFa6urgBk/QOLKmnkULFYDC0tLYSGhuLs2bNYsGAB9u/fX4qj8HkoKCSEEEIIIYR8tl52vT7ZqldZ2BTS58+fo1mzZrC0tERISAj09fXx9ddfyy0vFAq5/6urq3NpoYUxDIMBAwbItQYCgJaWFtTV1XllQUFBSElJQVBQEFdmaWmJDx8+cK8/fPjwyVZCQNby2b17dwBAt27dMH/+/E8uX1GoTyEhhBBCCCGkxmrTpg0uXboEIyMjqKurw9jYGBkZGYiKioKzs3Op16OhocGNHOrh4YEzZ84gOTkZAJCWloa3b98q/Nyff/6J69evY926dVxfQADw8fFBWFgYGIZBVFQUDAwMSgwKu3btilu3bgEAbt++XSWpowC1FBJCCCGEEEJqMDs7O6SmpnKDybBlWVlZMDU1RXZ2dqnWM3jwYPTt2xctW7bE2rVrMWPGDPj5+UEqlUJTUxP+/v6wtraW+9zixYthZWWFIUOGAJC18E2ZMgXe3t64cuUKunXrBh0dHaxcuZL7zLBhw/Dvv/8iOzsbXl5eWLFiBTp16oTx48dj9uzZ2LNnD3R1dbFixYrPPDqlI2AUJbvWMNHR0WjRooWyq6HS6BzUPnROK07nzp0BAJcvX1ZqPeic1j50TmuW0lwL6JzWPrX9nNb2/StOTk4OdHR0lLZ9Rcf9c84FpY8SQgghhBBCiAqjoJAQQgghhBBCVBgFhYQQQgghhJByqwW90WqUyjjeFBQSQgghhBBCykVbWxvJyckUGFYRhmGQnJwMbW3tCl0vjT5KCCGEEEIIKZf69esjLi4OiYmJyq5KlZJIJNDU1FTKtrW1tVG/fv0KXScFhYSQSvf3878R9SEKC70WKrsqhBBCCKlAmpqasLGxUXY1qlxtG3WV0kdJjSVlpCiQFii7GqQUllxegrCnYZRaQgghhBBSDVFQSGqsGadnoNu+bsquBimD9Lx0ZVeBEEIIIYQUQUEhqZGyJdm4GXsTojwRpIxU2dUhRTxNeoqAGwFy5+ZD5gcl1YgQQgghhBSHgkJSI0XERXD/T8yq/I7N516ew7X/rlX6dmoLv6N+OPT4EGKSY3iBIQWFhBBS8V6mvITrNlc8SXyi7KqQGiQhKwHrwtdBXCBWdlVINUBBIamRCqchvs98X+nbm39hPn4480Olb6e2YAPBJ4lPcPHVRa6cgkJCCKl4Bx8fBADcirul5JqQmmTG6RnY/2g/niY9VXZVSDVAQSGpkTLFmdz/32dUflBIykZdTR0AsDNyJ0R5Iq6czhUhhFS8vPw8AICagG7rSOklZScBANJy05RcE1IdKPXqMX/+fHh4eKB3795cWVpaGsaMGYPu3btjzJgxSE+ngSlqoyeJT3Dv3b1yf54XFFZyS+HV/65W6vprG4ZhkC/NByBrGWRbCuvo1kF8Vrwyq0YIIbWSRCoBAKTkpCi5JqQm0dXUBfAxOCSqTalB4cCBA7Fjxw5e2bZt2+Dh4YGzZ8/Cw8MD27ZtU1LtSGUKuh2EFddWlPvzmeJM6An1YKRtVGkpiQXSAhyJPoKZZ2ZWyvprq2tvrvGmCmHTmWyMbZCQlaCsahFCSK2VkZcBAEjNSVVyTUhNoqOpA4AeJhQVmx6L++/vK7saVU6pQWG7du1gZGTEK7tw4QL69+8PAOjfvz/Onz+vjKqRSpaUnYS3GW+5FqWyyhRnQl+oj3r69SotJTHqQ5Rc4EojnZasuCDaUt8SD+MfIuBGQBXXiBBCarcMsSwopJt7UhbsPRh9b/gGHByA8cfHK7saVU5D2RUoKjk5GRYWFgAACwsLpKSU/EXNy8tDdHR0ZVeNfEJubm6ZzsGbpDfIkmThyv0rsNKzKna5tLw0pOSlwNbQlitjGAY3X9yEgdAAQrEQz1OfV/j5L5AWYF3UOuTm5vLK7z26B31NfQDAs7RnKGAK0NKkZYVuu7oo6zkFgHdZ7+SOGUucLkZubi723tuLXia9VKrvS3Z2NgAo/TpVnnNKqjc6pzVLaa4F5Tmnb5PeIjc3F6/jX9P3oRqqrn+niamJyM3NxbPYZ9WyfsrC3seUdEyq63ktr2oXFJaHlpYWWrRooexqqLTo6OhSnwNxgRj51/Khra4NobkQLRoV/7kue7sgPTcdO/vuhGNdR6gJ1JCWm4aU6ykY5TwK8VnxeB79HM2bN4dAIKio3cHtt7fxLOsZtLW1eeWaFpow0DWAtYE1fLf7AgDujLvzWdtmGKZC615Rip7TkMgQtKnXBs6WzsV+5uE/D6GtrY3g3sH4/u/vufLBrQbDTNcM2vGy42nTzIbry6AKdHVl+6rs61RZ/k5JzUDntGYpzbWgPOdUcFcAbak28oX59H2ohqrr36n6HXVoQxsCXUG1rJ+yaF+T3auUdG9ZHc/r5wSp1e5RfZ06dZCQIOt3lJCQAFNTUyXXiFS0wmkKP5z5Ac+Tn+Pv538j8n2k3LLpubKBhsYeG4uwp2EAgPhM2WAl9QzqwVLfErn5ubwpKipC4ZG4fGx80LZeWwDAd8e+Q/8/+iMx++PciJ+z7bMvz6Ln7z3xVvS2/JWtAhl5Gdh8ZzO+O/ZdsctEvo/E6purIVQXwtXKFcbaxgCA3f13Y06HOTAQGnDL5khy5D6/4/4OdNnbpeIrTwghtRjDMNwoz6k5qdTNgZQa+1ucnJOs5JpUD8+Tn3Mj+QJQufkbq11Q6OPjg7Aw2c1/WFgYunShm8TaJjmbf/HZHbUbSy4vwbjj4z75ubXha/FW9JYbwbKuXl3U068HQPFUBx8yPyA3PxfiAnGZB6NhO+2HDQ1DQLcATHCdwHu//x/9uf+zQWp5XHx1EcnZyTj377lyr6Mq/HrrV+7/bKBe1L6H+wB8vIieGn4K4WPD4WDhAIFAAE11TW7ZnHz5oDD4bjDSc9ORm684/ZQQQgjf1f+uoufvPZEvzYeJjgmkjFThQzdCipIyUu73Oj4zHgzDKLlGyiNlpFgfvh7DDg/DmKNjuHJF9yq1mVKDwpkzZ2Lo0KF49eoVvLy88Oeff2L8+PG4ceMGunfvjhs3bmD8eNXr6FnbFX0iVVzAVvhpZ/cm3ZGXn4eg20HcCJZ19euinsH/B4VFpqXIkeSg9/7eWHRxERZcWIDe+3vzRsQsCdtp31zXHAB4rVyALPBpU68NAOCfhH9Kvd6i2AD5YfzDcq+jsu2K3IWjz45yr0cfHY1hh4fJLce2ri7yWgQA0FTX5AWChZ+4ZUuyi93etFPTsDFi42fXmxBCqqOErARkibMqZF2rb67mfkfYh6SFp2wipDjsA1grAyuIC8Qq3VoYJ4rD749+ByBrLWR96l6lNlJqn8J169YpLN+zZ08V14RUpdj0WADAwBYDERodiv/S/1O4HJsOM8xxGGZ6zERydjKSspMQnxkPdTV1mOqYQlNNFnQUDSwP/HMAAHDp9SWuLDE7EZb6lqWqY0ZeBjTVNSFUFwIADLUM5ZbZ+OVG+B31w9FnR/F1y69Ltd6i2H2//uY6MvIyYKBlUMInqta1/65h051NAIBd/XZhyZUl+C9NVmcpI+UNFvM+8z362PVBv+b9FK6rkVEj7v+fepJ9//193H9/H9PcplXELhBCiNKIC8SQMlJoa8j6KGXkZSBWFIvVN1djSecln71+9jcKkAWFTxKfIFOcibqo+9nrJrUbGxTaGNvgXcY7vM94DzNdMyXXSjmKy/hStVb3apc+qioi4iLwMuUlr0zKSHEq5lSt7w9wI/YGbE1ssaDTAoxvO14uHVHKSDH77GysvLYSANDSXDa6p6GWITLEGYjPioeFngXUBGow1DKEjqaOXPooOzdeYUP+GoIniU9KVUdRngj6Qn2ug7Gpzse+rYNbDUb42HBoa2jDs6EnniQ+Kdc5i0mOQUpOClqat4SUkVarid0ZhkHI0xD8cOYHrszBwgFmOh9/MAqnef79/G8kZiWioVHDYtfpVt8NC70WApBPyVB0/Gr73wEhpPYbEToCniGe3GspZNe1ipoCQEtdi/t/I2PZgzdqKSSlwQY81obWAPhjKagaNgPNyoA/Gn5Fj1dR3VFQqAR/P/8bk09OxtIrS3nlh58cxqJLi7gBVWqrmJQYOFo4AgDq6NSRez9TnInLry/j4quLAMANWGKgZYAXKS9w991dNDBsAAAQCASyuQqLpI/GimLR2643prlN44LKLHEWxh4bW2L9pIwUd9/fRTPTZlxZ4TTI712/516zdStPKtCRp0cAAF1tuwJAtZrY/UniE5yKPcW97m3XGwKBAOZ65lwZ2xk7X5qPJZeXAMAng0IAaGXeCoD88VL0Y0STMBNCarp/U/9VWF5RD70Kj4zo2VAWfFJQSEqDfTjLZlCpclAYnRQNoboQfw3+C01Nm3Ll44+Px+23t5VYs6pFQaESsP2lil642XxutoWsNhLliZCakwobExsA/BY4AJAUSOSOC7sM228iISuB+/EDIBcUSgokSMxKhLWBNUa2Hom9A/by3mMnay3O4SeHEZseiz52fXjl7azaoVmdZrxUUj1NPQBAlqTsQeGr1FdoYd6CCwoTsxJL+ETVWXV9Fe/14FaDAQAWehZcWV6BLCgsXG/3+u6fXG8dXdlDgKJ9F9jUjcLrV+X+DYSQ2qVAWoDAiEC8SHkBoOKCQra1J7h3MPfbREEhKQ32u8MGharWKlZY5IdItKnXBkJ1Ifc3yor6EKWkWlU9Cgqr2IMPD7i0kaTsJN5oT4X/X5ZBUWoSNrBjB3Bpbdma974oTyTXilTfsD4A4EPWx36DdnXsuP/XM6jHSx9NzZW1MBUOOEP6hUBLQ5Zm8yb9TbH1e5HyAr/c+AVOdZ3Qo2kP3ntbem/B/oH7eWX6QtlE9mVtKWQYBjEpMWhm2ow7FtWppfBp0lMAwHDH4ehj14c73mwLLfCxpZBNew38MhB6Qr1PrtdY2xgaahp4nfYarttccfzZcQAf973wHIhFR6kltZ8oT8T1WSWkNknJScGeBx/HS6iooDBLkoX+zfvD1cqV+z2ioJCUBttSaKZrBg01DZXOzknPTef6Uy77YhnvPTYjTBVQUFhF3oreYvGlxVz6opu1G7Il2bxAoHDLiKInNqI8EVZeW4m9D/bKvVcWCVkJSksTYAePYZ9omuqYoq99X+799Lx0uVY3dpLzhZ0WcmW2Jrbc/+vp14MoT8SNEsXum4mOCbeMU10n7Oq3CwDkngKxkrKTMO3UNAjVhRjXZhxvEBVW0UlM2SCoLC2FDMOg857OSMtNg4OFAzTVNWGiY8Kb+1BZYtNj0W57OwBA30Z98YPHD1jceTE01GRjUrWyaMUty7YUFh4NtiRqAjWY6ZrhUcIjAMCuKNk5YQPLwoPRUEuh6vE76oevD5Vv0CZCqpvCD3rfZbzjvVc4KFwXvg6TTkwq1/qzJdncbyQFhaQs2Ie/Oho6MNM1q1YPpquaKE/EjTL/VbOvcHPsTe69oqPP12YUFFYBKSPFuOPjcCLmBFfm29oXANBrfy9cfn0ZAL+lSFEn9AOPDiA0OhQbIzYWO5dbQlbCJ4fQFReI8dXvX+H7v78vz658NjbYNdI24soK990r3FLo7+2Pzb02c+851nXEnXF3cGnUJV4rIDstBTsCKfu0y0T7Y1AIAI2NG8NI2winX5yWq9fZl2fR87eeSMhKwAz3GfBo4FGq/WHTR0v7I5wpzkTXfV25fXSq6wRA1nJaHS7IF19d5G5kmhs3l3vfro4dVvisAAAMOzwMATcCsODCAgCyeSNLw0LPgjeCKSBLH9VQ0+DOJQBqMVIhG25twLIry/A67TUAWVrTjTc30PdAX/x661csurhIuRUkpBzYrBUAvGl9CpMyUux/tB+3394u8zxxjxIeIUeSwz0k1VLXgrqaOgWFpETJ2clcVyYdTR00NGqIWFEsbxlRngh7H+yt9YO+FUgLkC3J5o3+LlQXci2H6mrqyqpalaOgsAocfXoUCVkJqKtfF3sH7MU533NwtXLlBu2Yc24OANmUCWzLk6Kg8EbsDe7/7M1TUb5HfOG1ywvX31xX+P7fz/8GUHxrWWVjRxo10voYFA5uNRhfNfsKgCygY3/QnOo6ob11e97nBQKB3LQNbD789nvbAXxsKSza5C9UF6KffT/ciL2Bq/9d5foWvkp9xQU2ALi6lAYb3BY31yJLykhx7uU5+Ozx4Y22yv6Y19WrW6VBYWJWIgJuBMB1mys239mMlJwU7Li/A4G3A+FY1xEnh5+Eq7mrws8WHrL60ONDAAANNY0SU0dZ5rrm3IOLxOxESBkpXqS8QAOjBrxz9jL1ZXGrILXEu4x32BixEfse7sOxZ8e48oSsBGyI2IB3Ge/w28PfcOrFKd48l4TUBIW7NRTNzmG/zw8+PODKyto3/a3oLQBwc+YKBALoC/UpKCRyDj85jA47O6Dbvm4IuBHAG4ndSMsIjYwa4d/UfyEpkHDlq66twsaIjbzvaG3EzktddOoxtlGipHEoahMKCqvAtTfXoKOpgyNDjqCleUuY6JhAQ00DB74+gA4NOoBhGIgLxIjPjIebtRsA4HHCY946pIwUz5Ofw8fGBwAUTq0gyhNx/bBmnJ6BrXe3yi3zLOkZb/mqkpefhwJpAddSWPiPT11NHfM850FNoIZHCY/wv4v/A6B4ZFJF2Al7z/17Dq/TXnM/rIqClMGtBsNE2wQzz8zEjNMzsPfBXhx/LuvX9nWLrxE+NpxLwSmNBoYNUFe/rsIpMAo7FXMK8y/Mh5SRopttN1wcdREnh5/kUlQt9CyqbEqKZ0nP8OXvX3IBXUhkCLrv647gu8EAZGm6FnoWcqmyLEVPzQqn85aEvQADsu9F++3tcSP2BlzrucKzoSemtJ+CtvXaIk4UV5bdIjXQ4kuLFabDx2fFw9rAmldW3IMwonpSclIw8e+JclMRVTeFU0bZB7FCNdm8gmx/rguvLnDLlHWwMTZjiJ0DEQAFhUShX278AnGBGKk5qTj0+BAWXPz4INxExwQeDTyQLcnmunYAwL9pspFzi47uXtuwo4sWnaNRR0MHAAWFpIIlZSfBxdKFN8ksIGvJYke4vP7mOkR5IrhauaKFeQuciDnBa7JPyk5CvjQfbtZusNCzQNDtINx/fx9zzs7B5deXUSAtgM8eWcA4svVI2JrYYvv97XJD6RYOPGKSYyplfzPFmTj38hxepLzAuGPjMPLISHQM6YilV5bifcZ7aGtoywVeupq6sDezx7l/zwGQ/ciVdiJ3dkRLAHgY/1DhDyXLUt8S+7+WDRZzK+4WNkZsxN4He+Fe3x3zO83nTT1RGgKBADbGNiUGdGwQf93vOlZ1XQVDLUPeSJt19esiPTe92LTginQz9mOufBebLtz/R7YeidAhoWhi2uSTny9ax5keM7Gm+5pSb39gi4EKy8e1lfXjHO08Gi3MWyBOFFfr01ZUWbYkGw/iH2CM8xhs+moT770zL87ILV8d0qtJ9bDvwT7ceXeHy3xRtnxpvsLUz8IZP2yAaFfHDgZCAy5j5HHiY+hoym4+2T5epcUGltUlKKTW/OqJYRi531J25FF2xPDGxo0B8LOe2IYD/0v+iE3np5bWJuzfnXcjb145+wC8tg78qAgFhVVAlCeSa5ZmsaM6/njuRwCy0Re/dfgWr9Ne4+67u9xy7A+KlYEVfnD/AaI8EcYfH49Lry9h9tnZcNvhxi3bxaYLVnaRTWtRtPN6QlYCHCwcIBAIcP/9/YrbyUKWX1mO+RfmY+hfQxH5IZILiE7GnMTBxwdRV7+uwlaoJiZNuCe/63qsK/X2Cg8II8oTcRc79ilPUaY6ptj01SZeUDay9chSb68oc13zEp/w/pv6L1pZtFIYqAIf5/cr3JJbWdiWUQD4rs13EKoL4e/tj2lu00qcZxAAXK1ceRO8etT3kJvw9VO62nbFzbE3saf/Hhz/VlYXr0ZevH6i1gbWEBeIkZSdVOr1kppDlCfCvPPzIGWkcLVy5SbdZh19dhTRSdEAPv59s9OW1BRl7R9GSo+9cS3cN11ZxAViuO9wx/b72+XeYzNjCmetsKn2ablpkDJS/Jv6L3o36w0THZMyz4emsKVQUzlBoShPhA47O2D1jdVVvm3yaeygcCx24Dh7M3sEfRUE4GMrGXsvUyAt4KU8FzffZk2UI8nBlddXuGs0O/Jo0UYB9jgVMBQUkgr0qaCwgVED3uv6hvXR1bYrDLUMceL5x4FpCgeF7Lx2ANDeuj362PWBtoY2DLUM4evki5bmLdHUtCm8GnkBkLWeseKz4tHcrDmc6zrj/Kvz5dqfY8+OITQ6FIAsrbXoU5QnSR9TW011TDHLYxZCh4RyZWy6Z1GFJwwt2oxfkoODDgL4/6AwPwfqauqfbPVzq++Gk8NPYqzLWHzT8hu0s2pXpu0VZq5njuScZIWtWtmSbJyMOYk77+7A1rj4FEuP+h5QE6jxWvEqQ15+Ht6kv0GHBh0wzHEYmpo2xc2xN3kjwJZEQ00DC70+jgRbOLguLaG6EK0sWqGeQT2E9AvBYu/FvPfZaUiKppCKC8RYH74e0YnRdNNdgy26uAg3Y29CV1MXTnWdYKFnwU0Zw0rKTsI0t2kIHxsOobqwRqWPZkuy0W57O+46SSqWRCrr91QdJttm0/D3P9ov954oTwR9oT6vn5aaQA2aaprIl+bj2n/XkCXOglNdJ9ga2+K/9LINrpWbn8utj6Uv1EempOqDQvYe5eDjg58c7I5UvcLjGAAfB7izMbbhynQ1daGrqctlZDxLfgZJgQSzO8wGID96bk02/XNMf2gAACAASURBVPR0zDo7CzEpsmy5DHGGwnt0dQG1FJIKliPJgShPVOw8J2oCNfzS9Rfuta6mLoTqQjhYOPAG2mBb0Cz1LXmtbDoaOljceTEuj76Mi6MuYrr7dO79JZ2XQE+ohyPRRwDIfkDSc9NhoWeBL2y+wMuUl2VOycrLz8OyK8uw8tpKeO3yQvvt7eG2ww1rHqzB8+TnOPr0KN5nvOdu6pd0XoJvHb9FQ6OGODPiDGZ3mI2ZHjMVrpvtLM/uZ1k0MW0CLQ0tnHl5Bum56cW2EhY1sd1EzPWcW2z/udJoaNQQBdICuSdpDMNg4cWF8L/kD+DT/e70hHqwNbHlWkcqy9sM2cAEvZr1wkyPmeXe78LHt7QDzBTHqa6T3BP/4oLCR/GP8Puj3+F7xBfttrertECBYRh03t1ZYX+3xKzEGtdqVZ2IC8QIjwuHuZ45woaGQUdTh5uqpLBhjsMwqOUgqKupw9HCEQ/ia85gB4/iZf1y/vjnDyXXpHZhGAZPEp9wwaCyg8KMvAz8eutXAPKDVACym3FDLUNeWqVAIOBa9s68lKVJt7Vqi0bGjfA67XWZHnbl5udCW0Obdx1XVvpo4VTZxKxEpOSk8OYEljJSbL6zma6dSlB0ijO2BYxNGWU5Wjji4mvZCOTRibJ7kc6NO0NHU6fWBIUMw3BZcuz9Bft3WhR7nKhPIakw7JPiT7WmeDXygoaaBlytPo72WN+wPt6kv+F+IN5mvIWpjin3NJ1NfxzfdjyAj1/ewgy1DNGhfgfcjLsJKSP9OJ+cXl00N5NNN/AyRX6ExzhRHPZE7VH448ROq6EmUOOeBmppaCEiIQLDDg/D8qvLAQAT2k7AzbE30aFBB+6zdXTrYKjD0GKDoxZmLbCg0wKE9Avh5l0qi7z8PLwVvcWRp0e4PhpVgQ1m7727xyt/mvQUV/+7yr1mBwkqjl0du0pP0WAHMCqp32BJ2OP7uQFhceoZ1IOaQE0uKCw8rQsArLi6okK3G50YjZScFKTnpSNTnImNERvlnnp/fehr9Nrfi1oqyykmOQZSRoofO/zISxlmH5z1bNoTR4YcwUyPmdx1wELPokoHxvpcbIuPKk16XNniRHE48vQIRh4ZiagPUQCAUy9OKTXFvPDcssk5ybwWQUB2M64oxZV9qHbn3R0AsoyaxsaNIcoTlSnQZYPCwiorKCyQFmDDrQ248O8Fhe8Xnvg8ISsBI0JHYODBgfj94e8AgH8S/kFIZAhWXKvYazYpGXvtHN92PI4OPcoN9sY+fGV1se2CxKxEvMt4h6TsJAgEApjrmqOefr1aExQWHjSHvd8SiRVn83F9Cil9lFSU6KRoCNWFn0zP01TXxOkRp3lz8jU1bYpsSTZiRbF4mvQUx54d4/XbYtMf7c3sP7n9Dg06IDk7GS9SXnCtKvUN63OBmaJRTI8+PYrA24HY+2Avb2qL2PRYrLy2ElYGVrg97jbChoZhToc5uDDyAuY5z+OWa2fVDj2a9pAbWKckAoEAA1sM5FIbyqpwIFnalsKKYGVghXoG9XDvPT8oZFv9woaG4fzI87A2tFb0cU4DwwaIz4qvlM76UkaKY8+OYdX1VTDVMS3TaKGKsGkVrcxblbBk+WioacBS35IXFN59d5ebtmBXP9mk95EfIvG/C/+rkADtddpr+B7xxeiw0bwW9KIpgGyQSKOjlg97E180G8BYSxZAeTXykkur11TXrFGDWLA3YS9SXlC/2AqQl5+H/n/0x8prK7myegb1kJGXgbMvzyqtXoXPbV5+ntw0OvFZ8bDQtcAiL9k8m2zXD011TegL9ZGakwpjbWNoqGlwrTZsoFgShmEQGh0qN32VvlAfGXkZCI8NL+9uKfQi5QX2PdyHuefnKkwPDYkK4f6/5e4W7hq68bZsLjw2hbFo4EwqH/sd6WLTBdaG1ty4C+a65rzl2DEu9j7Yi+33t0NXUxfqauqwMrCqNSOQsg+UBAIB/nzyJ6SMFKI8EW+aNBZ7n8O2FCZkJWDtzbXc3OK1EQWFlSg8NhynX5xGV9uuvMFQFDHWNuYtw7Y+hUaHYkToCAAfR4kqi3bWsr5y99/fx9OkpxAIBGhWpxmMtY3hYOHAm/uQxf6wBd4OxIzTM7gb7lXXVwEAutl2AyALLoc4DIG2hjbamrfFqi6r0KZeG2z4ckOJ+1sZTgw7wQWGVdlSCAAO5g5yI8e9SHkBXU1dWBlYlarFoJFxIzAMUykpkdffXMeyK8tgomOC9T3Wf/b5aWzcGLM8ZmFVl1UVVEN5tia2iHgbwaUgRcRFAJAFE451HTHccTgAWQrWiCMjPnt77CAP7zLecT8cAHD+3/PcU3D2xxQAfn/0+2dvU5XEJMfgVtwtJOfIps0pPGow8LFVrfAxZmn8H3tnHt5Umfb/b5JmbdOkSZPuG6WFFih7KSCL7KvwCoioqCjgMoC4z/g67iPI6LwzuIOgo6PMiKCigAvLyI7sUGhpS0sp3Ze02Zu0Ob8/8ntOkyZplibpwvlcF9dVTs5JnuQk5zz3c9/398sO6VElPCQoVDersfTbpYyKbidxliX+6s6vECOOseuZDzZElOPZMVavYdsgkaIoVGoqESuOxbz+83B65Wmsn7Kefjw1wlqtQbLlGZEZAIAX9r8Atcl9VtzVJJ2UYa/euxqnyj0LMD3BNlPkbKFDZVDR99+L1RcRKYrE2py1tGAJEQdyJbbGEDjI+SLe2ES1tn3JPsmW7cjbAQDQmaz2XtFh0W69mHsK56vOI4wXhjdufwP1+npcrrkMdbPaqdo9yRSSe8/Hpz/GttxttH1Xb4QJCgMI8R96dMSjXh9LVCD/dfFfAIDV2avx8NCHvX6e6LBoSAVSXGu4hkpNJRQiBX3hzlRkoqihyCHLUtJYYvd/cjMoqC/AQOVA/CH7D05fa2rqVGyau8nrDKG/EPPF9GqrmOeZnYW/SJOnoUJTQV9EAevnlSZL8zgAG6QcBAAON/ImYxP2Fu7tVDasRGU9p1/8zxcYoOx8do/FYmHJoCUBVf97MudJGFuMdF9Wja4GHDaHthR5IucJ+u+rdVfp3llfsS3/3XB0AwCrkFNuTS6mfjEVK39YiT2Fe+h99hbtZVa9O4CiKOwt3IsGQwNqdDVYsmMJVu1ZRdtNRAgi7PZfMmgJ2Cw2vZBlC5fNpcVFuis1uhpaKErTrAE/hI90eTpqdbV+nZzfijgrhxTzxRikHISL1Re7rJT7muoauBwuRieMBmD1Bz5QcgCAVbxCb9a77I8fHD0YAGh7pghhBD0p/yT/kw5f10JZ8P7vVhuX9nYu8/rPwysTXwEAOzXTY2XH8NLBl3z+rGyD0PYlrupmtVURffhKjE0YC8B67SRCJqWNpfTxXbFgfCujM+nwj5P/ANA2LxoWbU06tF+Yax+wkwULhUgBdbO6R1VrtOdi9UU8sfcJ7MzbiYHKgRioHAjA2uZjMBucZgrZLDbYLDYtNFOksnqNdvd7UWdgfp0B5GL1RWTHZXsl10+wvXCOSRiD+7Lu89pDj5AoSUSZugz1hnq7iwApUSXegIC1BOam+iYyFZn0tmuqa9Cb9Wg0NmJC0oRufVEfHjMcAIK+Mk/KLohBcYulBVfrr7ot77UlRhyDAcoB+M/l/9gFG8/9+hz+fPDPnRKhqdRWIpwfbtfD1d1JkiZhaPRQ7C/Zj5+KfkKtvhb95P3oiRObxUa6PB3777cuvqw7sg7jPx1vp9rrKRRF4WzVWczoO4P+vbJZbLw5+U3cP/h+yEVyXKi+gHVH1iEuPA5/mfQX6Ew6h3IxhjZKm0rx54N/xrQvpmHWl7Po7Wcqz0AZqnS4nvWP7I/fV/zu9HrJ4/C6fQC+7PtlWLN3DV2OlChJxGfzP0M4P9zOBobBc1osLbBQFrugcFX2Kny72LoANDZhLGp0Nfjg1AeuniKgFNQXoE9EH0SFRtHbiL0UKdlrP/EmkL5+21LMAw8cQDg/HE2mJqfHEH4q+gk/X/sZ2XHZGBU/yu4xHoeHOelzIBFI8OWlL+kgcM3eNdhTuMeuD9IbbDOF7UtWiYddQngCHhjyAJShSiwesJi2miltKqWPL1P3Xr+77siBkgN0UEMEiV4c/yK+XvS1g190+7abT+6wLk6QDGNPLoXfdmkbXRk3LGYYYsQxEHKFdLm2K4cADptD9xTeCiXQHs/uTaaeu0LQFVRpq1CsKsZtibf5/Bxb523FA4MfwN9n/J1OY/tCmiwNuTW5KFYVQyZoCwqIcfnWc229AOWaclAUhXsH3Ytfllp7NZ76+SmUq62qlb4EuMFkaMxQAM5XlgMJCQo/O/8Z8mrzkFebB4PZQAepnvLw0IdRoanA4RuH6W1ENrkzPSLV2mqvFV27AzP7zkS9vh4vHngRv5f/DrnQcYIlEUgwv/98WCgL9GY9Xv7vy/gu/zuvXqeksQQqgwojY0fS/T8h7BBIBVKsGbUGP9/3M96b+R4mp0zGusnrECO22qq0nxz1RnzNLHQkDEN6Qj2Fy+n+mUKiqlinr8Pl2suICYsBj8PDjL4zsL9kv1svUwZ7tCYtpn4xFRuObqCFMdLkabh74N10z+mstFmYnTYbX1z8AppmTdDH2GhshEKksLNTCeWFYs3eNfjzQet1xNVCHLmXts++jIgd4bZ8NL8uHzwOj/aYc0aTsQmmVhPWH1lv91ts3+bgKRWaCnriXK+vt3uMlPgnSBIwLGYY9ty7BwOUAxArjgWXw0WJqoQWXypWFfca0ZLuznf539Hif1/8zxf0dn4I36mugG3bzej40XTFGikzDUZQaDAbAuKhfbX+KsYljsPWeVuxNGsp2Cw2smOz6cy+q6AwhB1CB9VExbUntTJ4i8ugkKIo7NmzB4899hjGjBmDSZMmYdSoUZg7dy7eeecdlJUxqz0dUdpovQCS1UBfyIrKwupRqzudmbuj3x0wthhRpa2yW7WUCCSYlTbLrhSE9E7JhDJECCIQIbSWeL1/ylqi4k3mqysgK7akZj5YkIbtwzcO49Hdj9LiByRI9ZSxCWMhE8qwt3AvAKu6HJkQXa333di+wdjQo7KEBBJ8EVy9hweHPIhpqdNoQac3Dr1hV8rrDtKXNCR6CIbHDscd/e7AR3Ps+wZGxo3EW1PfQqYikw5O20+Oehs3mm5g5OaRdD+nN5BV1c/mf4bP/6fN2kMZqkRUWJSrw5xCbsw9oTfvfNV51OnraFGRhZkLYW41O+3fZnDNgZID0DRr8M2Vb+hFnr9M+otdiRuLxcK01GlosbR0SdZeY9LQJXmnVpxCujwdOpMOx8qO0ZL+rvrJyb2qvS1AhCDCIVNIURTOV52nF2jKmsqQKEnscG5AvF9/Lf6VHgvQZm/lDZdrLuNQ6SFkRWWBH8J38FMkolvt1SzZLDYyIjOwq2AXCusLcffAuwFYM50MgeeNQ2/Q18wMRYbb/W1V7IfHti1oBzMoXHdkHVb+sNKvPYzEHmVozFBkRWXRVSq2KuyuBA45LA5aLC1otbTSC0/dfYGyM7i8otx///0oKirCqlWrcPjwYRw5cgQnT57EZ599hoyMDKxbtw67du0K5lh7FLZm812NbWDaPkiNEERAZ26bPJPMh0woA4vFwu57dkPIFeLIjSOIFcc63MC6G6TMITo0uFkxFouFF8a9gDEJY2BqNWFb7jbEimO9DsQ4bA5m9J2BI2VHoG5W41jZMVAUBTFf3KmgUGVQOfRw9QTa94a6KsWKD4/Hm5PfxIvjX8SSgUsAAI/8+IjHK3qXqi8hnB9OT7RemvBShyq45Ly++turXRIYHrlxhDbNDiQ/FvwIADh4/aDLfSo0Ffjw1IcOGUWSnZDwJchUZOL4w8fx/qz3vc4SAqDNubvrCq3tez9XeQ5A22Q/RZqCcH64U6VnBudQFIXtV7YDsKpKk9X89sIYQJv/q692PsWqYp97pTTNGlqggsViOVW9dnXdVYQq8I8Z/8CrE1+12y4TyqA1a+kStbOVZzFy80gs37WctjgqU5fRWRxXzO03F0+NfgrqZrVdwFytc+0TWFBf4HTh5elfnraOWaRAn4g+OFp21G4/lVEFMV/sVE/gtsTb6AWiWWmzkChJpK2RGAILCX7mps/1+lhbxXzyuwtGtQMRefOnei5Z9B0cNdhuO3lf/BC+wwI0gZSPkiwhm8W+NctHt2zZgjVr1mDAgAHgcNpKF+VyOWbNmoUPPvgAM2bMCMogeyIWyoIIYYSD5G9XwGFzsHXeVoxJGOPglRfGC4PBbKDT4yqjNVNIMoQ8Dg/95NbsIFFL687IhDJsmLoBb05+0/3OfubOjDuxceZGLM1aCsD3CeyMvjNgbjXjQMkB7CncA7lIjvsG3YdydbnPZbEqo4o+pz2J9iUd7oJsNouNp8c8jemp05Ffl++RMqHerMfRsqMYpBxkZwLdEUKukBbsmfHlDPzz/D+x5ewWnKs8F7DApVJTCYqiUKwqxtqf1mLD0Q0BF9ggq7UlqhKXWbolO5Zgy7ktDiu75CZKxIi4HC5GxY/yOksIgJ5sdsebcZW2iu4lBoBv8r4BYO2vAqzBQqQossuN1nsSuwt309kt0nO3YtgKpyVe0WHR4Ifw8V3+d3ZWMp5wvfE67tp+Fz4527GwizMoioLWpLXry3KmrOkskCWMTRzroHqYLk8HBYpeRNh2aRv9WF5dHu7YdgeuN16nv18dQRYmvrhoLR2UCCQuMzDFqmLcs+MefHjqQ4fHyGLy0sFLMbPvTJQ2ltqpZGuaNS7F3Wz1CfrK+mJ4zHCcLD/pVSUHg/e0WFrQYmnB0qyleHniy14f395DlsPmBDxTuKdwD51QId9Zf5BXm2fNWrfLlpL3SOa/ziCZQrKwESmKvDUzhQUFBTh8+LDD9oMHD+LKFevFisfrGpXJnsD8/vOx464dneoF9CdZUVnYOHOjww2K3NBItrBWVws2i22nxDSj7wwoQ5W4PeX24A24E0xKmdSlARCxSsiOy/bp+IzIDCRJk7D57Gb89/p/MSN1Bn0xK6gv8Pr5NM0aGMwGp/143Z32EyZn/ljOeP6258FisewURV2x6+ou1OnrcG/WvV6NbfPczfjLpL+Aoii8+/u7+PD0h1jxwwrM+WoO/nzgz/jTvj/hnWPvOLVY8IbmlmY89fNTmLttLj6/8Dnu2n4X/RgpLQ4URBTiTOUZrD+y3uHxQ6WH6Mmd3qy3M7AuaihCGC/MQczAF8iKd3e7GevNesz5ag6W7FgCHoeHZGkyKIqCiCuy++5K+BJ6UsHQMRRFYVuuNRCynZimRKQ43Z/FYoHH4eFK7RWs2rPKq9cimbcdeTsw+6vZeGLvE2huafboWEOLARbKYhcMtQ8Kt9yxxeOFJgIJwE5VnIKFsuBM5Rk6uPvk7Cf0pLm9l6czkiRWoReS4RmkHGS3gGELCaiJHYEtIewQpMpSkShJxJDoIQCs/fMEdbPapRL10GhrC8XgqMHgcXiY338+jC1GrN672umiloWyYNWeVThY4ro6gcE9dfo6UBTlNqPsjPbzJzaLDblQ7rNIkSdUa6vx2m+vAbD+1svUZXbquZ2h3lAPqUDqkMlWhioBdLyAT1oXyCKnIlTRLRcn/YXLoHDDhg1ITk522J6cnIy33norkGPqFXDYHJeNq90JMmEjGair9VeRKku1C2YXZi7Ennv32JUTMLhGIpBg77178cfb/ujT8SwWC4syF9HCFbPTZ9MTBV9EAi7XWkt1POkp6G60L8ciHpnuCOeHI12ejjOVngWFA5QDvA7ieRwepvedjuy4bAi5QqwZtQax4ljU6euwt2gvfi3+Fdtyt+HB7x/scCXSHV9e+pKevL77+7t2jxEBqEBBBCQAq2dqe3ZcaZtArj+yHlO/mIqihiLszNuJ30p/w+j40X5RKya9Lt3tZny4tG3hdPmw5bRv57jEcXb7hfPDUdhQyEx0PeBAyQFcrbuK8Unj8d3dbYJRziTjCesnr0eCJAHFqmJcrWsrs29uae6wNPTIjSMArP2v1dpqHC07Sv/W3EH6i2yD//ZBIbGd8IZQXigA4KPTH2H1ntVQN6vpknhbnAmFtMe2JO7ZMc9ikHIQilXFTss3SVCoblY7ZAu1Ji3CuNa5Agky9hTuoa8Ptr2V7eGH8PHL0l+wcabVxD5TkYmJyRNxsfqig/0VYF1MOnHzBJ799Vm374/BNeR8eluZse/+ffj+7u8dtitCFQHNFJJs/Q9LfsB7M9+DiCvC47sfp/U5OoPKoHJaZUQEAjsihB0Cs8VMV3ooRApYKEuP6G/3BZd3a5VKhYQEx5WolJQUNDT0fsW9WwWyulejq4Gp1YTzVedpvzwG31GEKjpl0rt4wGJsmLoBT41+CmmyNMiEMshFcrsJj6dcrL4IFouFAYrO+xMGGxaLhV1LrL3LiZJEj1bHCUOjh+J0xekOexMslAXXVNeQHetbVhcAPpj9AQ4vO4z7B9+PXUt22fmG3T/4flxvvO4gzOANZyrOIE2ehhfGvQB+CB/jEsfRCqmBXLlVN6sdslvt/1/YUEifk3NV1l66F/a/gDcPv4kmYxPt39ZZSE9hd8sU/lb6GwDrhHvZkGVIk6dh5+KdePV2+z4xiUACdbMaz/76bLcLbLsb3+Z/izBeGF6Z+ArtqQu4VgcEgFHxo7BpziZIBVLakw0Axn06DvftvM/pMXqzHheqL9D/Hx4zHBKBxE75uSNIlt42GLJVIfWVUG4o/ffJcqvAU0pECv4w8g8YGj2UnuQTD8COYLPYeG/We3h5wstYPHAxFmYuBIvFchr42vaLbTm3hS6P/bHgRzQ1N9ELyGG8MLw1xZoYOF91Hg2GBlysvtjh+ZEJZXSwy2KxsGLYCgBt/rm25Nbk0n/fCurOgYIEhd62MEkFUrvfHSFSGBmw+83lmsv4Nv9bLMhYgBhxDKLCovCPGdbf8Q8FP3S6v1BldK6pIAgR4KUJL2HrvK1OjrIiEVirPGzLR4Hu29/eWUJcPWA0Gl0e1NFjDD0LIoSzfNdyZCgyoDfrcXtyzygT7c2wWCyH/s/+8v44V3UOFsriVfYlrzYPfSL60DflnkasOBY77trhtWjPtNRp+Hfuv/Hv3H+7DE40zRq0Wlr9qsxKBGqyorKwZtQahHJDsda4FvUG7wVpLJQFubW5mJ46HXdm3Ik7M+4E0HbDD+TKLSlTm5g8Ef+9/l8AwNGyo5iVZvUcNLWaUKOrwZQ+U2ifMsBe8MNffcjdtacwtyYXk1MmY/HAxfQ2Z+Vatt+vekN9j7SHCQYGswFnKs9gUeYiOsgI44VBa9K6rbxRhCqwZOASfHj6Q9ToahApioSFsqBYVQwLZYGp1WS3UJdbk4tWSyuWD1uOT85+ApPFhLEJY3HkxhGPrrHOMoW2FQGLMhd5/f4BOLScZCgyMFA5EMNihmHZ0GVobmlGsarYobTeFTnxOfTfEoEEfWV9cariFB7DY3b71ehqEMoLBUVR0Jv1KG0qxcKvF9KP95G2ZSZvT7kdXA4Xm85sorP43lRakIUkZ56FtteP3JpcjE8a7/HzMrTha6bQFcpQJc5UngFFUV6XRLtjf8l+cDlcPDay7TuZFZWFcH44Pjv/GT47/xl+X/G7z1UnDYYGu95WW9xVwEUIIqAyqujyURIUmlvNToWVejouP+GcnBxs3LjRYft7772H7GzfV9U95dChQ5g+fTqmTp2KTZs2Bfz1blViwtrKS0hj/8i4kV01HIYOmN53Oio0FV6XkNYZ6oKuxupvkqRJHk+CCFlRWRifNB6VWtcS7CRQc6Vq6gtCrhCfzvsU7860lnouG7oMohARrjdexxcXPG+e//Xar5j55UzoTDoHJVSiDhxINTgyqXho6EP4fcXv4HK4dv1IJGjsqATHlaKbt5CeQl9VIgOBudWMCk2Fnay5K2yzOoxfoWsuVF+AudWMMQlj6G0rh68E4F5kCmhbkLmpvmlX+py9ORu3bb0Nbxx6g95GMlL3DLoHdw+8G8+PfR7jEsdB3az2SB2TZApte2bJNWp19mo8N/Y5t8/hjp2Ld+Lz+Z/bTT75IfxOtQLckX4HLlZfxNEb9hYptfpaxIpjae/Db/O+tXvc9hrJZrEhE8pQpa3C1nNbIeKKML//fI/HIOKKIBfJ7c4RYBX++fry1/Q15VpD8G1Gegu1ulrwODyXZb3ekiZPg9akRbnG95aFbZe20XZdtuTW5KKfvJ/db4nNYtP9qIBVIdwXLJQF1TrffZqlAikajY1oNDaCy+HSi1Pd6V7kT1wGhc8//zyKioowffp0rF27FmvXrsX06dNRUFCAP/3pTwEdVGtrK1577TV88skn2L17N3788UcUFTlvjmboHKG8UExImkD/f+u8rXZeNQzdB9JX2P5G6o5GY6NLr6zeTqw4tkMJ9n9d/BeAjhUCfWFQ1CA6M8tmsZEmT4OYJ8ZHZz7y6ObW3NKMPx/8M213MTF5ot3jIewQRAgiApopJD2tylAl2Cw2FCIFPr/wOb0oQbzJbG1u7sy4E4Oi2srP/WWDQkqgOjMh8TdE9MiT3nGiVAsEx+urp9BobMSGoxtwreEaKjQVeH7f8wDss61LBi7B6ZWn7Yy1XUF+czqTDoX1hQ6Pf5f/HS1ekVuTi2RpMsL54XhmzDPoH9kfA5UDAVjLot1B+vBtJ93k+65uVvslmxIpivR7VubOjDuRIEmwK7MFrItACpECqRGpCGGH4MtLX4LD5uCeQfcAgMO8gCx6XW+8jgGKAV5ncRLCE+wqDADrQpiFsmBtzlokSBJwqca3QIDBaj0SFRblt+8P+W3Ylvd6it6sx9vH3sY7x9/BC/tfQIulBRRF4ePTH2PTmU24VHPJqQXUs2Ofpa8FvigEA1YvYXOr2Wd7OBIUNhmbIBVIu20rg79w+SsOCwvDxo0b8dFHH2H27NmYPXs2PvroI2zcuBFhYZ1Xk+uIixcvIikpCQkJWDGYawAAIABJREFUCeDxeJg9ezb2798f0Ne8lXln+js4vOwwfln6S4febAxdCzEGfuf4Oy73oSgKZyvP2vVqNBmbXCrD9XZkQhl0Jp3LVT2iltnev8jfhLBDkCJNQaQoEi8ceMGt8MyZyjNosbTggcEPYPui7U4VPCNFgevxAKyZAw6bQ2doKFiVAolnGRG56R/ZH6/f/jo+nP0h/nTbn/DpvE/xwewP8J+F//HbhKRfZD9wOVyPLEaCBVFsdtZ/055kaTLtR+fqnLVYWrDpzKZbqo/qhf0v4OvLX2PxN4txx7Y7aCVb20Usb75D5FzozXoHEZNMRSaiwqLwzC/PoE5fh9yaXHqiS4gOi4aIK/LI85AsjtguCizMXIjbEm+jTdo7iyffLW/hh/CxMGMhilXF9ATfYDYgvy4f8eHxCOWF4r4sax/mzL4z6QWpkbH2FUR9IvpgRl+rLZkv84YUaQoKGwrterMKGwqRKElEdlw2cuJycOTGEad9hz2JCk0F3jz8Jq422usB6Ew6/O3437Dt0jbU6eugNWn9WkVAgnx/kRqRCkGIwKegkLRxEN449AY2n92MzWc3Y9OZTRCGCJ3+ZqLDorFz8U7MSptF96x7C6kU6kxQqDfr8f3V71Grq6WrVm65nkIAMJlMiI2NRUqK+4Zmf1JdXY3o6LZUb1RUFC5edD0ZaG5uRl5eXjCG1uuphuusSkcYjUbmHASBRH4iClWFuJB7wWk9++na03jr/Ftgs9hYn70ecaFxaNA0QN+g9/r89IZzqq/Xw2g04sSFE1AIHW+Q16quoX9ofxRc9d7qw6tx6K1ZpWmR0/DhlQ9x8OxBxIXGudx/y4UtsJgsGB86HsYqI/KqHM8Dp5mDInWRV+fIm3Oaez0XAosAV/Otk5lMYSZKaktgZFmf4/jV42C3sFFVUoVkVjKgBvLV1omyGGKY1CbkVfvv+xMdEo3DVw9jarhnCrSBplRTCqPRiLrKOuRZ3L/PZCoZpmYTcotzMYjdlk01tBiwvXg7ztWdw03dTVy/eR1L05d6PI6e+jvVmXU4fO0wUsJTcF1z3U7N73rhdZ8WFOqN9TAajbhachXF6mKEtIbgvbHv4UzdGWTJsnCq9hQ25W3CxE8mAgAkURKHzy6CFYEzxWeQF9HxZ/rzlZ+RJEhCRUkFKlBBb38k6RHU3ahDHZxnhMm1oKNzNj9hPvg8fsDOq7JZCaPRiLv/fTe2T92Oty+8DaPRiFBDKPLy8jApbBIGjRgEhUABViMLH+Z8iDBtmMN4FikXQdYiwxjhGK/HmohE1Knr8PXRrzE00lomeLb0LJLCkpCXl4fRotH4wvAFnvj+CTzc72GkS90rRXZH3jr/Fk7XnobFYsEPpT/gmcHPYGfJTmwravOf/MvBvwAAwrhh2DJhi18Umy+XX0a2Mtuv36GYkBgcLTyK2RGz7bbXG+sh5opd9tgdyj9kp0XyzcX/7+UaloDJcZMxNmosmm42oQnObXv4Bj4atY0u5z0dcbLqJIxGI3RVOuRpvf8stHVau7FXllfCaDTiytUraApt6rHXX1e4DAq//PJLnDp1Cmw2G0OHDsXSpZ7fpDqLM++ajm4QfD4fGRk9T26/N5GXl8ecgyDwCPcR/O+B/0VobCj6yvrS29XNamiaNdh+fjsEAgFC2CF49dKrWDd5HQQCAbL6ZiGjn3fnpzec04bQBgiKBZDGSZER5fheWs62ID0+PeDvUySyrviPzBiJT4s/xb7GfXhz+JtOb/7XGq7hgvoClo1chsEDXWcw+9X2w+Ebh70au1fntBhI5aXS+6/vvx61u2pRpa1C3/S+aMhvwLDEYcjMdN7A729y6nOwt2hvt/lOmqvNEJwXICM1AxkJno0p/lw8OGIO/R4slAV3f3M3nZkSCATon9w/cOe0G3Go9BD4Aj5emf4K0uXpaDA04M7/WIWUfP1OaU1aCE4JIIuSodRSiiQqCSOyRmAERgAARmM0cjJz8PjuxwEAC0YtcBAGGlY9DMdvHu/wM6UoCvoTekzrO83rz55cCzo67l7cG9Bz2p/qj8zrmShWFUORpEDhiUIIBAIsn7jcawXVjq5RHZGanorN1zajjFWGezLusaodH2nC6PTRyMjIQAYyIDojQoWpAn8v+DsOPtAz7VwMlw0QCAQQUSJcUF/AIycegd6sh0BgVb4k3nwA0IIWsBQsxIXHYeUPKzE9dTqWDV3m9WvW6+th5pgxKn2UX79HEzUT8en5T0FFUrRwS72+Hkv/tRS3Jd6Gv8/4u8MxLZYW5B/Nh0BgFXl6c/KbOFx6GHuL9uLtOW/blda7IgMZENwUICYlhvYW9JQTxhMQCAQYN3ScT4rwlYJKCEqsx3005yMYzAYICgWITYpFhiKjW15/OxOkulyO2LFjB/7v//4Pb7/9NnbscDQzDSTR0dGoqqqi/19dXQ2l0rsvAgNDb4R4U9mWNzUYGjDpn5Mw79/zUKGpwLrJ6/DVgq/Qammle+ZI6emtRpLUat7srATJQllQb6iHXOg/kRl3kFLMfcX7cL7qvIPX0TdXvsHibxaDy+Fi6eCOF+IiRZFoMDR0ygOxI6p11XY3YGJrUqOrwXO/PofChkJkRAbvZhgrjoXWpKVVHz1lT+Ee7Cve53dfKSJR7k2JX6IkEVfqrtD/P11xGsWqYlpVFui9ZUntuVB1ASHsEAxUDkQYLwyJkkQsGbjEQXXZG2zLRxuMDU5/29lx2ZiWOg13DbjLqVJsjDgGdfq6Dn9XOrMOBrPBb8qOwYbFYuGVia8AAI7eOAq9WY+Vw1f6xVLDU3gcHjIVmdh+ZTsK6gvw7sl3QVGUndoo+bu9X21PwUJZUNZUhqVZS/F0lrXsnvQi/23633BHvztweuVpvDLxFbpkOrcmF5drLqOooQjvn3rf5XN3xNEyq4iQrVCLP1g6eCnCeGH46tJX9LYPTn0AwOr52dzS7HDMG4fesLumTUiagFdvfxU7F+/0KCAE2jxK1c1qr8dc2FAIZajSZ4sw2774EbEjaDEpb+9DPQWXQeGyZcuwatUqrF69OqhZQgAYNGgQrl+/jrKyMphMJuzevRuTJvl+o2Bg6C0kSZPAZrHtVNmWfd+2krhk4BJM6TMFfSL6IFWWSvdgOZv83ArEimPB4/BwvfG6w2NNxia0Wlr9LjLTEbYKiit/WGnXPF+hqcD6I+sBAEuzlroVB1KIFKAoyierC3dQFIUaXY3Dqizppzh84zDMrWY7kZlAQ3pCOlKTbY+p1YSXDr6EP+77o1fKr57w5M9PAoBHAiiEMQljcK3hGm2ETHxHV2Wvov04iYBJb6dCU0H/PglPj3kaG6Zu8Pk5SeZ905lNuFR9yU5d25Y3J7/pUh2UTAKJBL0zSD+tq+fvCfST90NUWBReP/Q6ACAqNPgBLgn6nvv1OXx/9XvMTpttp2b86sRXMTR6KFqpwCx8BZoqbRVMrSYkSZPQV9IXydJk8EP4WJ29Grcl3kbvNyd9Dn5d+ivkIjlya3Lt+mHbe8N6Qn5dPkRckd+vz+H8cMxKm4X9Jfvp/sezVWfpx/Pq7DNU5lYzfiz4EQCwbcE2bF+0HfwQPtgstldzEtK3S4TXPKVOX4dDpYcwPGa4V8fZ0r4XkYyFqA/3NlwGhXPnzsX777+P999/HwsWLAjmmBASEoKXXnoJy5cvx6xZszBz5kykpaUFdQwMDN0RHoeHJGkStpzbgneOvQMLZaEnKCeWn8DTY56mS62zlNbmf34IP6jZsO4Em8WGXCR3Kt4RCDsKd0QIImifPwD4z+X/ALAGYSRAeG7sc3h85ONun4sEs/5UszxbeRZNxiY6E9I+KGw/Cfa1ed8XiL1FpcbzoNB2NdfZwoA3UBTltLXBG6lzYk1BVBcv116GXCRHOD8cseJYWtTgVqBKVxUQv0ZbQRRX/qQdQRZuOhL8uaayLsqlRARXb8GfcNgcPD/2efr/XeGdec+ge/DOtHdwU30TFspiFygBVjXZickTUa+vt7PD6SmQa06yNBlsFhvbF23HkWVH8MCQBxxaB0glxuXay3bXqgvVF7x+3bKmMiRKEv2uXAtYz5m51YxdV3fh5M2TKGsqw+h46++sSluFY2XHaGE3Ymv00oSXkCZP8/n3EiG0LtT8Yc8f6AU1T7hYfRHGFqNXdintiQqLQlx4HP0cRPTNl6xlT8BlUGgwGNwe7Mk+vjJhwgT8/PPP2LdvHx577DH3BzAw3CL0k/cDAGzL3Yb7dlpV4v4y6S8OkuHEb5LL5gbk5tBTIJLS7SHBVDADZlK2RTJuTcYmjNg0AiM3j8S/c/8NNovt1kyXoAi1CueQG29n+TbvW6z8YSXeOf4O/Zztg8IFmfY9WGQMwYAEoMQf0RNsV3M7Gzxvv7IdEz6bgDV712Drua0ArBMkTywpCOSzu6a6hhM3T2Bf8T7kxLWZi4u4olsmU1ilDUxQSHz2AGBU3CivjycT0I6CQmLHkhCe4PXzdyfGJoxFVFgUYsQxGBrj31JDTxmXNI7+e1jMMIfH5/abCw6bg5+KfgrmsPwCafNIkljbGFgsVof34oHKgShtLLX69kX2g1QgxZ7CPV69prnVjCt1V+hWE38THx6PTEUmfi//na5EWjNqDQCryuiavWswZssYHLlxBKv3rgbQ+cVD28XINw+/6fFx5D7miZdsR3y3+Du8OP5FAG0WNL31Ou0yKHzkkUfw17/+FWfPnkVzc1udcEVFBb799lusWLECBw/2zMZfBoaejK2MekF9ARYPWIxpqdMc9huXOA5jEsbgsRG39qKKhC9xWgpGMk7B7gtis9i0BYxt0HWm8gySpEke9z7Q5ZReZM6csb94P8ZsGYMvL30JwJpds/UobD92IkMPBDeglvAlEHKFXpWPkhs3h83ptH3Hzryd0Jv1OFZ2jO6jcfa764gESQKUoUq8cegNrDuyDgDw2Mi236cgRICfin6CubXne2DtuLLDpYWIudWMOn1dQIJCDpuDpVlL8fzY5+n+H28g5aMdZSQajY0I54fTizs9FQ6bg5137cSOu3Z4reroL9gsNlZnr8bTo592WrURzg/HsOhh+K30ty4YXec4X3UeceFx9EKDOwYorD12BfUF6Cfvh4HKgShTl7k5yp6jZUfRZGzC9NTpXo/XU5IkSajUVqKksQSx4lha9M7WrmLtT2tpT+U0Wecq/Yj/KAAcKDlAV9W4o1pbDR6HR/ck+optIC8IEYDD5tx6PYX//Oc/MWzYMHz++eeYOnUqRowYgezsbKxZswbl5eV44403MGvWLFeHMzAwBIhFmYvw0oSX6P+vzVnrdPVRyBVi48yNWDxwcTCH1+1wlSksU5eBy+F2SdlUCDsEMqEMe+7dg0PLDtEla+kyz2XXfQmS2lOiKsHz+56HqdVElyzpzXo6gHKm9LYgw9pOMDZhbFAnxSwWCwqRwquMHwkKEyWJnfL/a7W04qb6JhIkbZmhxQMWO/jcuYPNYuP12609XOXqcizNWmr3/SPPpzKqfB5rMMitycXOvJ1Oy2kJ646sw0PfP+T0sRpdDSiKCthv74mcJ7BowCKfjvWkfLTR2Oi257enwA/hd1lASHhgyANYMmiJy8cnJE9AiaoEF6sv0v6QPYHChkI60POEDEWbcFeKNAUyoczrProfrv4AuUiOnPgc9zv7SIw4BlXaKtxouoH48HiwWCyMSRjjdF+5SO4Xn+RlQ5Zhbc5aAMDJ8pMeHVOtq0ZUWJRfK6VYLBbC+eG9tnzUpSUFi8XC5MmTMXny5GCOh4GBwQ0cNgd39LsDkaJISPiSHr9aHWiUoUrU6GpgoSx0H4e51Yyfin5CijTFL55QnUHEFWF66nRsy93mVZkLi8VCTFiMV+WU7bE1FCbU6GvoTKEz82O5SI7TK0/7/JqdIUIQAZXB84CJBIUxYTF0760vXFNdg7HFiEeGP4IPTn2ACk0F0uS+rX4Pjx2OFcNWYPPZzZjbb67dY7cl3oZdV3ehydjktfS6vzCYDdCYNOCyuS4zHC8eeBE31TfR3NLsdDLvTkG1XGM9F12xIOMOMV8MNot9ywSFPYHxSePx9rG36UWGwVGDsWXeli4eVcdYKAuqtFWY1sfzaoJwfjgGKAfgcs1l9IvsB3WzGg2GBrt7V0c0tzTjt9LfsCBjAThsTmeG3yGJkkRYKAvy6/Lpdoe/z/g7dCYd8uvycU11DVGhUdCatHQbS2f5Q/YfAACfnv/U42t5ja4GSpH/r6NinrjXCs10aF7PwMDQfXG1MsdgT4o0BaZWE26qb9I9XcfKjqFGV4NnxzzbxaOzsip7FWRCmUOQ4I5YcWyngsL2ZbUDlQNRUF+AwzcOIyUipdstOMiEMpQ2lXq8P8kQx4njcKzVKoDgS1aktNH6mqkRqXhmzDPYcm6L16WjtqwcvhJz+811qWznz1XoDUc3QCqQYsWwFR6tmK/9aS3OVJ4BAPy+4neHyWiDoYHuqdtTtMdpUOiutIpke0h/dHeCzWJDKpB2uPjQaGzslgFtb4WUKBKxmQvVF9BqaQ1o4NNZanQ1aLW00gJZnrJ57mZcb7yONFkaSlQlsFAWNBob7ZSrXUEUkQNtQWWrakp+B2wWG2K+GCPjRvotEHRGnDiOXlSyRWfS4cmfn8STOU8iQ5EBiqJQpa1y2qfaWcJ4YbdeTyEDAwNDb4BkdE5XtGW3dhfuhkwos/PE6kr4IXwsG7rMa3uMWHFsp8pHKzQVyInPwQezP0CyNBnjEsfB1GrCldormJvuXYAaDCKEEV6VVtboasBhc5AsTQbguzgACbzjwuMwPmk8/jn/n175E7aHxWI5FV8gQWFHdgiecKDkAL648AVe2P8Cvr78NTad2YTdhbsBAIX1hZj2xTSnwh3qZjUdEALAyZuOZVrrDlt7IccljkNebR6qtFUO+9gGtc78/opVxVCEKvxSVhYIZEJZh9+zRmNjp/uUGLyDLOiR3w3pV+uuFNYXAmhTHPYUHoeHdHk6WCyriT3QJmzkDrLY0l7F1d+Q6ykQfFuW+PB4p0Hhfd/eh7OVZ/Hyf18GAHx4+kNUaau8LvH3hN5cPsoEhQwMDL2adHk6OGwO3jr6FgDrhPXwjcOYnjq9W680e0KkKBKaZg0tAe4tldpKxIpjkR2XjW/u+sZOsS6QPSm+IhfK0Whs9NiIvkpbBYWoLfjwVRygXFMOiUDSqUDQE0hJoi/eZISNJzfiuV+fwz9O/gO/XPuF3r7+yHoUq4qx8eRGNBga8OKBF+kMKIEEeA8OeRAh7BD8UPCDw/OXa8qhDFViVfYqAMCcr+Y4lIvaBrXOyqxqdDXdOtMmE8ro8lELZYHBbK+0zpSPBp9V2atw/+D76X76al21z89FUZTH1xBfuVx7GSwWC/0ifc+Gk0CYWNh0BEVRYLPYmNdvXsCtUmyVzoP9O44Tx6FCU+Gw2EQ+I2OLEc0tzfj0/KeYnjodizJ96y3uiN5cPupRUJifn48vv/wSX331FfLze06TLwMDAwObxcbklMlotbTC2GLEwZKDMLeaMTNtZlcPrdMQpURv+uwIBrMBKoPKbqXXtqfR1kS6uxAhjABFUR57VdXoaqAMVdIy4r6u7paryxEnjvPpWG/obPmoyqDC5xc+d9j+9aKvYWwx4tdrv+J05Wlazc9WLRBok3CfkDQBCzMX4kDJATvLE4qicFN9E5NSJiFVlkqXkbUX/7DNHjp7L1Xaqi4xS/cUqUBKZwqf/vlpTP58Mv2dM7YYYWo1MUFhkEmUJGLNqDX09aozVjx/O/43zN0216frpqccv3kcA5UDO7WQRAIuTwLgMnUZGo2NGBQ1yOfX8wZyrwimVy1g9QZttbSioL6A3qYz6QBY+/MrNBW4UH0BFEXhtsTbAmLHJeaLbz31UcKHH36Ip59+GjU1NaiursYzzzyDjz/+OBhjY2BgYPALJOvVYGjAsbJjUIYqkRGZ4eao7o8nSomuIBN3254X0oty14C7/DA6/0Per6eTOZKRIsfVG7xT8iNUaCuCMvnhc6xKkL6Wj7afKO+5dw+2ztuKPhF9ECGMwI68HTC3mvHXqX8Fj8Ozm1gBbb2TseJYLMxciBZLC47cOEI/nluTC71Zj0xFJgDgnWnvAHAMCm0zG+2DQoqiUKOr6dZBoUwog8qgQnNLMw7fOAxTq4kWtyDBIRMUdg3EG7VW55vFjIWyYFvuNlRrq3G+6rw/h0bTaGzEldorGBPfub5/HoeHcH64R4rL5L0MiR7Sqdf0lC13bMH/Tf8/usQ1WBAtheM3j9PbSDnp8mHLwWFz8PjuxwEELmAN44VBY9J0qL7cU3EbFO7atQvffPMNnnzySTz55JPYvn07vvvuu2CMjYGBgcEvED+9Wl0tTlWcQk58TkBWEIMNUYf0xcKABB4k2whYs6onlp/AM2Oe8c8A/QwJ7pz1lLSHCA0oQ5X0RPJG0w2PSrFssVAWVGoqgxIUslgsSAQSnzOFZPL4ysRX8Nn8z6AMVSIrKguA1VuswdAAIVeIIdFDkCpLRWFDod3x56rOIT48HnKRHEmSJChCFXa9uCSIHBE7AoBV2TeUF0qbdBNsz0/796JuVsPYYgy6P6g3yIQyaE1au4wnWXghQWF37Yfs7fA4PEgEEp8zhbbHdaYfuyMK6gtAUZRfAjS5SO5xUCgRSJAkSer0a3pCGC8M45LGBeW1bJEKpIgKi0KJqoTeRhZsRsaOxIphKwBYr02+KkS7I5wfDnOr2ee2je6M26AwNjYWra1ttbutra1ISEjo4AgGBgaG7gURcNmZtxPqZnW37JfzBVJe5IvdAil/aW/wHcIO6XKbDlcMUAyATCjDjwU/ut1X3ayGqdWEqNAoyIQysFlsbDy5Ef/zn/+hy408oVZXixZLS8AV/Qjh/HCfewrJ5HF4zHAHgQUyWRweMxw8Dg/95P1wpfaKXT/gjaYbtBE1i8XCsOhhOFN5hl4RJ4sPZCGBxWKhv7y/Q8alXl9Pl821fy+kFK479xSS91fS2DbxJO+dvB8mU9h1KEOVtJeqt2w9t5X+uzPKzR1RqbEGm/7IosmFco+8Cs9VncOQqCG9YrHTHSnSFDsVarIIFR8ej+XDlmPf/fuwc/HOgPWAd7YdoTvj9s4vFAoxe/Zs/O///i9efPFFzJ07F2KxGOvWrcO6deuCMUYGBgaGTkFuzkSBcWRs4CSzg4lCpEA4P9wh4+MJpFE+jBfm72EFDH4IHxOTJ+LEzRN2q7TGFqPDDZpM6KPCosBmselgBwB+L//d49ckE45g9c5I+BKPeybbQ2d/nfgLklVzUn41Pmk8tCYt9hbuBWDNrBLhIcLw2OGo19fTSo8NhgaI+WI7q5LRCaNRUF9gV85Xb6inFQrbCzKQ7Fu3Dgr//+dnmwFtnylkgsKuQyFS+JwpJJUCydLkgAWF56rOgc1i+8VrNFIUiTqD80zhhaoLePj7h1GuLkdZU1nQSke7GplQZneNrNHVQMQV0QucUoEUghBBwF6fvE5vFJtxGxROmDABq1atwpAhQzB48GA8/vjjyMnJQd++fdG3b193hzMwMDB0ObaBz4NDHnRpyt3TYLFY6Cvr61NQSOwZyKpnT2F80njozXqcqWizTnjo+4cw6Z+T7PZbvms5ANC9a5NTJtOPEb8zTyATx2AFhZGiSJ97HzXNGoSwQ8Dn8B0eW5i5EJ/N/wwLMhYAsPbZcjlcrD+6njbaNpgNdoI6ZJJ5quIUGgwN+KnoJ7tyY6AtyDxVcYre1mBooIPC9pnCnhAUkjLl643X6W1MUNh9iA6L9ll9tEJbgemp05EoSQxI+eiV2ivYU7gHc9Ln2Kl0+grJFDrrX3vt0Gu4UH0Bz/xqLfcfHD2406/XE5AKpHZBYZOxKajl3KTyyJkdT0/H7Td20SL/y7kyMDAwBJsh0UNwvuo87hl0T1cPxa+ky9Px/dXvYaEsXpV9kvLRnpQpBKxZXn4IH4dvHMbohNEwt5rpXjd1s5pW8CQQIR1bu428ujyPX69CUwEWixW0ICZSFOlzaZzGpIGYL3ZaQhbCDrErKeVxeHhw8IPYfHYzilXFOFd5DoA180dIlCQihB2C9UfWY/2R9QDahD4IKdIUsFlsOpvYYmlBnb4O0WHREHFFDhncKm0VuBxutw6qSOBLBHQkAoldUMhisRy+ZwzBIyYsBiqDCsYWo1cZIdJnPLXPVBjMBro02p8ll9/mfQsOm4MnRj3hl+eTi+QwthhhaDE4lEOS0m/iiWh7jevNSAVS6M16mFpN4HF4Tq/7gYQoc1+pvYKxwrFBe91g4HYGcejQISxYsACjR49GdnY2Ro4ciezs7GCMjYGBgcFvbJy5Ef+68190FqC3ECeOg8Fs8FoiW2PSgB/CtysF7AnwQ/gYFTcKR24cAUVRdlk/WxXM6LBoxIfH0+fbdsJ04uYJB289V9xU34RCpACPw/PTO+iYSFEkDGYD9Ga918dqmjVeZX7npM8BYBWpuFRzCTKhDAnhbZoBIewQO6NqAFg+dLnd/7kcLqLDoumgsEJTAQtlQUJ4AqQCqYNIBrGj6K59q4B9+ahcJEeiJJEOCmt0NYgQRHTr8fd2SNbe2/JPrUmLVksrZEIZYsWx0Jl0fi8B1Jq0iBPH+S1zRRajyO+L0GRssusllwqkPW6Bz1fIghLJFjY1N0HCD16mMIwXhv6R/XG87Lj7nXsYbq9qr7/+Ol577TUcOnQIx48fx4kTJ3D8eO/7IBgYGHo3Iq6I9lXrTfiqQKpp1vTYbMeYhDGo0FTgRtMNXK69TG/Pq23LALZYWmiVTAB2QjGmVpPHPUnXG687BEaBRCHyXXJfY9J4NTGMFcdCLpJj67mt2FO4B8NjhjtkTYj9BMFZ6XW6PJ0+DzfVNwEACZIEZEVl4XTlaTuj8Gptdbe2owCAUG4ovViSJEmCTCCjS3ortZVBl+FnsMdXWwqStQ7nh9OY9bOVAAAgAElEQVQVBEQUxl/ozDq/CpyQ7P6l6kt220np6/CY4QBurXJmcv0giwLBzhQCwKrsVZiYPDGorxkM3AaF0dHRyMjIAJfLBYfDof8xMDAwMHQ97VdNPUVj8i6r1J0Ym2At2fmt9DdcrrmMCGEEZEKZ3Wq63qy3m5xx2BysHL4SiwcsBuA6y3Ct4Ro+Pv0xKIqCqdWEYlUxUiNSA/hu7CH9Kp7I0LdHa9J6FRSyWCxkKbPoAPnREY867LMqexVeHP8iHSy27ykEgGExw1CuLkedvo5WSlSIFBiTMAYqgwo5n+TQk+8qXVW37icErJ8LeZ/J0mREhUWhWmvtYbupvkkbqDN0DcRiyNveWyLEFM4P98oY3ht0Jh1CuaF+e76YsBjIhDJcqrEPCsn1YUqfKQCsZdy3CqTqgwhB1Rvqg14BlBOfg6WDlwb1NYOB257CZ599Fo8++iiys7PB47WVz9x///0BHRgDAwMDg3vI5NVTQ3eCtwFEdyJGHIMMRQb2Fe+DscWIAYoBqNXX0hMliqKc9hutHL4SNboafH3la+wt3GuXSazR1UDME2PV3lWo1dVi89nNmNJnCowtRoxNDF7fCJ0F8aGvUGPS0JlGT5nedzoOXj+IOzPuRJLU0eNMJpRhfv/5qNXV4uMzH9NBqy2kx6aooajNtkIYgXGJVh8zC2XBB6c+wKu3v4paXW239igkiPli1OhqkCxNhoWyQGvSolhVjApNBe4acFdXD++WRi6yBoWkpNdTSKZQwpfQmSVvy+47QmfSoaSxBMNihvntOVksFgYpB+FK7RW77SRLOj5pPBShCgcLmt5MdFg0+CF8lDaWQm/WQ9Os6fbVBz0Ft5nCjRs3gs1mQ6PRoKGhgf7HwMDAwND1+Fw+2oMzhYBVTfRK7RUUq4oxQDEACpGCDqRMrSZYKIvTMi5lqBJjE8biQvUFeltBfQFmfTkLbx97264kbV/xPihDlciOC14fPQm6nJXGWSgLtl3a5tBfRNA0axx8J90xpc8U/Pbgb3hh3Asd7rd82HIceOCA014pYvdR1FAElUEFHocHYYgQYr4Y7858F4B1EULTrIGFsvSIvt4nRj2B7LhszOg7A4mSRADAN1e+AWD1y2ToOkK5oeBxeF5n00k1hUQgoa99/uwpfPLnJ6FuVvvsM+qKVFkqytRldn3Q5FonE8owMXmi08Wa3gqLxUKcOA7lmnK6yqEnLDT1BNxmChsaGrBz585gjIWBgYGBwUt8Lh9t1tCG5j2RrKgs+u8BygGo09fhXNU5tFhaYGgxAIDL3p50eTqOlR2j1eu+vPglAGBv0V6wWWxwOVzMSZuDHXk7MKPvjKCKioRyQyHkCp1mCg+VHsI7x9/Bttxt2LVkl8Pjvgb6oTz35W4dKW5KBVLIRXJa9CdCGEGXm45OGI1pqdNwofoCndlxVoLa3RiTMIa22xgdPxqRokh8fflrAP4xJWfwHaIG7K3QDAkiI0WREIYIAfgvU6g363G28qz1dVz4CvpKsjQZrZZW3FTfpPub6/R1iBBG9DihMH9BgkJyTSElxQydw+2dLicnhxGWYWBgYOim8Dg8iLgin3oKe6rQDABkRGYgnB8OEVeEQcpByInPgc6kQ25NLt3X5kqRbqByICyUBZdrLsNCWXDs5jEAbRnGP4//Mx4d8SgeH/k4lg9b7vQ5AgWLxXJpzk2k5ys0FQ7qpKZWE5pbmr3OFPqLNFkanSlsH/QNUAxAtbYaf9z/RwDOxWq6M1wOF3f0u4P+/62UlemuJEoS7XwkPaFOXwd+CB+h3FBw2ByIuCK/ZQrJWEbFjcJbU97yy3MSSCBYoiqht9Xp627p72F8eDzK1eV24kEMncdtULh9+3YsW7YMQ4cOZSwpGBgYGLohUoHUq55CiqKgafZOqbK7IeQK8e+F/8bXi76GmC9GmjwNAFDWVEYLEKREOBdfGBI9BCwWC2cqz+BK7RWoDCpMSplEP54Tn4MIYQQeGvqQX5UEPUUZqnQaFNqWCLefEGtNWgBd5zvZV9YX+XX5KGwodAgKZ6bNBGAV8QF6ZlD14JAHAVj7WRk7iq5noHIgilXFuFh90e2+rZZWANa+YYVIQWexw3hhfssUfnDqAwDAU6Ofonts/QUJCm1/87X6WkQKe97vyF/EhcdBb9ajrKkMALpsMay34bZ89MSJE8EYBwMDAwODj0QII7zqKTS0GGChLD26pxCwBk+EqNAosFgsXK69jLOVZ8Hj8FxaSYTzw5EuT8ep8lOo0FRAxBXh6dFPg8PiYF7/eV0u764MVeJc1TmH7bbZ4AMlB+zsIshjXTX24THD8a+L/0KNrsZOwAew9j09O+ZZ/PXYXzGv37weqZQo4orw1YKv7L5zDF3HgowF+Oj0Rzhfdd6ulLw9X136Cn87/jc8NfopnK44jSHRQ+jHosOiaQuVztJobIRcJEeqzP9KxSKuCMpQJUoa2zKFDYaGoKoidzfixNYSbuJN25MXOLsTbpe7OBwOfvrpJ2zevBkcDge1tbXIy8tzdxgDAwMDQ5CIEHgXFJKsUm9aXeVyuIgJi8E3V75BsaoYtyff3qHh/OCowThTeQa7ru7CiNgRiAqLwrop65ATnxPEUTtHIVKgVleL1357DXO+mkNvVxlUyFBkALAGhbaQktmu6q0ZlzQOs9JmAXBetrsgcwE+mP2Bnb1FTyNdnt7lCwYMViKEEVCGKuk+VlfsLtwNAPjb8b+hwdCAuelz6cfSZGkobCgERVGdHk+FpgK3J9/e6edxRbI0mc4UUhQFlUHVIwSbAgXp682rs8YjTFDoH9wGha+99hpOnjyJ77//HgAgEAjw8ssvB3xgDAwMDAye4W35KCmZ6umZwvaQjMFdA+7C65Ne73DfhZkL6b9tswfdAWWoEi2WFuy6ugtV2ipsOLoBOpMO1bpqxInjcGfGnbjRdAOv/vdVXG28CqBNnr8rJ4oz+s4AAIyMG+nwWAg7BNlx2T02IGTofsSJ41Clrepwn3hxPP13TnwObku8jf5/mjwNWpPW7XO4w2A2QN2sDqj/ZrI0GaVNpaAoCoYWA0ytph4h2BQoSKbwRtMNiLgipqTbT7gtHz137hy+/fZbzJ8/HwAglUphNpsDPjAGBgYGBs+IEESg0dgIiqI8mnQTcYXetrr66IhHkS5Px8LMhW4nCX0i+mDf/fvw2/Xf6AxXd6F9T9LXl7+GiCtCuaYcU/pMobOBPxT8gHxRPuaPnk8beRMPt65gTMIYHH3oKPgh/C4bA8OtQ3RYtJ21jDNsbSvm9Ztnd30kv7PChkLEiGN8Hgep0gjkgkx8eDx0Jh0ajY3QmXUBf73uDj+ED0WotaKCKen2H25D65CQEFgsFvqHpFKpwGYzETkDAwNDdyFCGAFTq4m2YnAHUa7sChGVQBIfHo/7B9/v8fuSCqSY139et5N1d5a5zK/LR6ulFUmSJLqEFADKtFahha4WmiEwASFDsIgOi0aNrgYWyuJyn1p9LaLDojE8ZjjGJY2zeywmzBoIOhN18oZgWK2Q/uhiVXHb6/UwFV9/Q7KFseLYLh5J78FldNfSYjXJvPfee7F69Wo0NDRg48aNuOeee7BixYpOvejevXsxe/Zs9O/fH5cuXbJ77OOPP8bUqVMxffp0HD58uFOvw8DAwHArQMy1ibqjOwzmjn38GLoWFouFzXM3Y8PUDfS2EzdPgM1iY3TCaGRFZeGFcS9gUsokNJoarQsCZgMEIQKmjIrhliE6LBotlhYHE/unf34ar/73VVAUhTp9Hab2mYqP534MQYjAbj/ip0mCLF8hpfuBzNwNVA4Ei8XCvuJ99OvdyuWjQJvQWFQoY1zvL1zePRYtWgQAmD9/PtauXYuHHnoI4eHh+Mc//oHZs2d36kXT09Px7rvvYuRI+76DoqIi7N69G7t378Ynn3yCV199Fa2trZ16LQYGBobeDlGhJObJ7iCZQiFXGLAxMXSOoTFDMSllEh4b8Vjbtuih9MTzzow76f6oOn0d9GY9E+Qz3FKQHj7bnkBNswa/lf6GHwp+QKPRumCiCFU4PT6EHQIJX+IQVHpLrb4WQGCDwnB+OGakzsC3+d+itKk04K/XE7gv6z5EhUVh8cDFXT2UXoPLoNBWjSktLQ0PPPAAHnzwQaSnd95/JTU1FX369HHYvn//fsyePRs8Hg8JCQlISkrCxYvuPWgYGBgYbmWUoUpkRWXh+6vfe6SkR8pMmSCi+/PwsIcxJmEMAKsXoC1khbxKWwW9Wc8E+Qy3FKQPsFJTSW8rU5fRf5NFso58MWVCWaczhXm1eRDzxYgKC2zGal7/eWixtODIjSMAmPLRTEUmdt+z2+G6yOA7LoVmGhoa8Omnn7o8cNmyZX4fTHV1NQYPHkz/PyoqCtXV1W6Pa25uZmwyuhij0cicg14Gc079h15vzcwF8vMcIhqCTaWbcODMAcSGxoKiKOQ15qFveF/amoGc08LSQhiNRpQWlaKSU+nmmRm6mmmyaThQeAB9WH3svkManQYWiwWn806jrLoMLYYW5jfbzfHkWsBcez3D0GKA0WjEmYIzSDRbS+h3Fu+E0WgEAHx6/FMYjUbwm/guP88WfQvKm8s79XkfKzqGWH4sruZfdbmPP85praYWRqMR+RX5YLWycK3As3YBhsDR236rLoNCi8UCnU7n8xM/+OCDqKtzTMmvXbsWU6ZMcXqMsxVuT5T0+Hw+MjIy3O7HEDjy8vKYc9DLYM6p/xCJrBm5QH6eRqkRn5d8DlGUCBkJGThWdgzrjqzDrLRZeO321wC0ndMIbQRCK0KRNSCLsQjoAWQgA7OyZzn0CyaZk8A+xgZfxofIIEKUKIr5zXZzPLkWMNdez4k+Fw2WmEV/XnWldUiUJ6JGV4N8XT4UEgXGDx3v8joXWxILrUnr0+dtajXhSu0V1LbWYk76nICfU4lGAsF5AfTQI0GewHxHugHd8bfamSDVZVCoUCiwatUqn5/4s88+8/qY6OhoVFW11YZXV1dDqWSkZhkYGBjcQcx8yzXlAIDjZccBAOerzjvsqzfrIQwRMgFhD8KZgIyIK4IoRIRqXTX0Zn2v851kYHBHrDgWldq2aodGYyNSpClosbSgwdCA6LDoDq9zIq7IZ/XR935/D19d+gqAVQgm0AhDmPJwhsDiUU9hsJg0aRJ2794Nk8mEsrIyXL9+HVlZWUEfBwMDA0NPI1IUCR6HhwpNBQDQYgQVmgqom9V2+6qb1Qjnhwd9jAz+Ry6Qo1pbjQpNRZd6FDIwdAXRYdH0NQ+wBoVSgRT95P0AAEpRx4kFYYjQYyuf9vxW+hv9dzCCwlBeKP13WVNZB3syMPiGy6DQl0yfp/z6668YP348zp07h0ceeQQPP/wwAKugzcyZMzFr1iwsX74cL730EjgcTsDGwcDAwNBbYLPYiBHHoFxtzRTeVN+khQjaq5KSiRNDz0fOl+Ny7WU0GBrQP7J/Vw+HgSGoxIpjUaGpoBMZjcZGRAgjMCF5AgBgWMywDo8XcUW0GrM3qJvVdDDK4/CCIvrCZbf5qZKWAAYGf+KyfFQqDdyEYerUqZg6darTxx577DE89thjTh9jYGBgYHBNnDgO5ZpyUBSFal015vWbh4PXD+LtY2+jydiEVEsqACYo7E3IBXLk1+cDaPOrZGC4VYgVx8LUaoLKqIKYJ4bWpIVUIMWCjAXIjstGQnhCh8f7GhRO+uckAMCKYSuwZNASn8buLbZlsBOTJwblNRluLRiXWwYGBoZeQpw4DhWaChhaDGhuaUZ0WDTmpM1BlbYKrx96Hb+U/wILZYHKqGKCwl6CnN9WMqoQOfdjY2DorcSEWW0pKjQVaGpuAgBIBVKwWCwkShLd9k2LuCKYW80wt5o9fk2tSUv/PVA5MKil+CNiR6BPRB/GToghILjMFDIwMDAw9CxixbFQN6txvfE6AEAulGNh5kL0i+yHlw6+hFM1p/D3E39HpaYSc9LmdO1gGfyCXNAWFHbkx8bA0BuJFccCsJbLC0IEAODVghfx9jS0GMDlcN3sbaWooYj+O9gl2x/N+Sior8dwa8EEhQwMDAy9BFI+eLriNABALpJDxBVhSp8puFB1AZ+e/hSF+kIAwKIBi7psnAz+wzYolAgkXTgSBobgkyhJBJfDRUF9Ab0o4k1QSDJuBrPB44xfQX0BAGBm35mMuBNDr4IpH2VgYGDoJQxQDgAA7CncAwCID4+nH7MNAh8e+jBkQllwB8cQEJLCkui/ndlWMDD0ZrgcLtJkabhSewUqgwoAECHwXPSFBIXe9BWWNpZCxBUxYi8MvQ7mDsLAwMDQS4gURSJGHIOihiJwOVy6tAqwrqgv7LMQADClz5SuGiKDn5Hypbgv6z68NOGlrh4KA0OX0D+yP/Lr8qEyWoNCnzKFXthSaE1aSAQSxueVodfBlI8yMDAw9CIGRw1GpaYSkaJIh8zR4tTFeGbaMwjjhXXR6BgCwdqctV09BAaGLiM1IhVakxYlqhIA3pVRk6BQZ9J5fIzerEcoN9T9jgwMPQwmU8jAwMDQi1iQsQAAUKmpdPo4ExAyMDD0Jkhf3zXVNYTxwhDC9jzfIQxpE5rxFJ1Zx6h/MvRKmEwhAwMDQy9i8P9j78zjoir3P/4ZwGGRxQUBUcQlF/Sq2LWFcksDV8TUbLXyWrZoanbv9ZplamppWTczt6zUm/W7mgulZS7l1Vwyc1cURVFcAEFkFQaY8/vj28M5M8zAbMz6fb9evM5w5syZZ85zzvM83z2iK9qHtsfImJGObgrDMEyd09hfFgrNLbVjSUyhqIXIMO4GC4UMwzBuhJfKC2uHr3V0MxiGYeyCsBTml+YjOiS6lqN1ESUpzBEKi8uL0SyomVnfwzCuALuPMgzDMAzDMC5JRGAEvL28AUAnuZYpiNjAO+VmuI9qilFfzTGFjPvBQiHDMAzDMAzjkqi91WjZoCUA84VCSyyFnGiGcVdYKGQYhmEYhmFcFl9vXwC6tVlNwUvlBV8fX5MTzWglLQmFbClk3BAWChmGYRiGYRiXpUJbAQCICo4y+7MB9QJMLkkhLIpsKWTcERYKGYZhGIZhGJflXz3+hS7hXRDTJMbsz/r7+JtsKRTCI1sKGXeEhUKGYRiGYRjGZekS3gVfJH0BPx8/sz9bX11fJ6awvLIcq4+txvnc89WOLS7/UyhkSyHjhrBQyDAMwzAMw3gk/j7+OkLhscxj+OTQJ3h799vVjmVLIePOsFDIMAzDMAzDeCSB6kAUaYqq/r9ZchMAkJqbWu1YcVygOtA+jWMYO8JCIcMwDMMwDOORVBMKi29WvS6tKNU5tlBTCAAIUgfZp3EMY0dYKGQYhmEYhmE8En2hMKckp+r1jcIbOscWlBUAAIJ9g+3TOIaxIywUMgzDMAzDMB6JvlAorIEAcKPIsFAY5MuWQsb9YKGQYRiGYRiG8UiC1EHQVGqgqdQAoFqEvj6+AIDcklydY4s0RVB7q6H2Vtu9nQxT17BQyDAMwzAMw3gkImmMsBaWlJegWVAzAEBeaZ7OsQVlBew6yrgtLBQyDMMwDMMwHokhoTA0IBRqbzXy7lQXCtl1lHFXWChkGIZhGIZhPBIhFBaWUSxhcXkxAuoFoKF/Q9y6c0vn2MKyQs48yrgtLBQyDMMwDMMwHomw/AlL4Z3yOwioF4DmQc1x6fYlnWMLNYXsPsq4LSwUMgzDMAzDMB6JvvtocXkx6terj45NOuL8rfM6tQoLygrYUsi4LQ4RCufPn48BAwYgMTER48ePR0FBQdV7y5cvR3x8PPr374+9e/c6onkMwzAMwzCMB1DlPvpnKYqS8hIE1AtAXFQcyivLcejaoapjCzWFHFPIuC0OEQoffPBBbNmyBd9//z1atmyJ5cuXAwAuXLiArVu3YuvWrVi5ciVmzZqFyspKRzSRYRiGYRiGcXOUlsLyynKUV5YjoF4AOjXpBAC4fPsyAEAraVGkKWL3UcZtcYhQ2KNHD/j4+AAAYmNjkZmZCQDYtWsXBg8eDLVajaioKERHR+PEiROOaCLDMAzDMAzj5gTUC4BKpUKRpggl5SVV++qr6yNQHYjMIlqjFmuKIUkSC4WM2+Lj6AZs2LABAwcOBABkZWWha9euVe+Fh4cjKyur1nOUlZUhJSWlztrI1E5paSn3gZvBfWo7SkpooeHo68l96n5wn7oWpowF3Kf2R1WuwoWMCzjudRylpaW4lXULKT4pCNAG4PSV00hplILsO9koLS1FXlYeUnzM6x/uU/fE3fq1zoTC5557Djk5OdX2T548GQ8//DAAYOnSpfD29sbQoUMBAJIkVTtepVLV+l2+vr6IiYmxssWMNaSkpHAfuBncp7YjICAAABx+PblP3Q/uU9fClLGA+9T+hB0NQ/0G9dGsZTP4HfZD+9btEdM6Bu0ut8PNkpuIiYmBKkcFPz8/dLqrE2Jamtc/3KfuiTP2qzVCap0JhatWrarx/U2bNmH37t1YtWpVleAXERFR5UoKkOUwLCysrprIMAzDMAzDeDiB6kAUaYpQXF4MgNxHASAiMAIns08CkOsYsvso4644JKZwz549+Oyzz7B06VL4+/tX7e/bty+2bt0KjUaDjIwMpKeno0uXLo5oIsMwDMMwDOMBBKmDSCjU6AqFkUGRyC/Nx7mcc8goyAAAhAaEOqydDFOXOCSm8J133oFGo8GYMWMAAF27dsXs2bPRtm1bDBw4EIMGDYK3tzdmzJgBb29vRzSRYRiGYRiG8QAC1YHIKs5CTgmFPQnBb0i7IVh8aDEW7FuAlJwUhAeGIyo4ypFNZZg6wyFC4Y4dO4y+9/LLL+Pll1+2Y2sYhmEYhmEYTyVQHYi0vDRkFVNyw7D6FLrUyL8RWjdsjeNZxwEA3SK6mZTrgmFcEYdnH2UYhmEYhmEYRxHkS+6j2cXZaOTfCGpvddV703pMw4aUDVBBhUn3T3JgKxmmbmGhkGEYhmEYhvFYRKKZzKLMKiuhoGtEV3SN6GrkkwzjPjgk0QzDMAzDMAzDOAOB6kBoJS3Sb6cjvH64o5vDMA6BhUKGYRiGYRjGYwlUBwIArhdeR3ggC4WMZ8JCIcMwDMMwDOOxKMtMRIdEO7AlDOM4WChkGIZhGIZhPJYWIS2qXncI7eDAljCM42ChkGEYhmEYhvFYIoMiq15HhXAdQsYzYaGQYRiGYRiG8ViUJSga+DVwYEsYxnGwUMgwDMMwDMMwALxUvDRmPBOuU8gwDMMwDMN4NKuHrUZ+Wb6jm8EwDoOFQoZhGIZhGMaj6RTWydFNYBiHwjZyhmEYhmEYhmEYD4aFQoZhGIZhGIZhGA+GhUKGYRiGYRiGYRgPhoVChmEYhmEYhmEYD4aFQoZhGIZhGIZhGA9GJUmS5OhGWMuxY8fg6+vr6GYwDMMwDMMwDMM4hLKyMsTGxlr0WbcQChmGYRiGYRiGYRjLYPdRhmEYhmEYhmEYD4aFQoZhGIZhGIZhGA+GhUKGYRiGYRiGYRgPhoVChmEYhmEYhmEYD4aFQoZhGIZhGIZhGA+GhUKGYRiGYRiGYRgPhoVCN+XGjRsYPXo0Bg4ciMGDB2P16tUAgNu3b2PMmDFISEjAmDFjkJ+fDwBIS0vDY489hr/85S/4/PPPdc7Vt29fJCYmIikpCcOHDzf6ndOmTUNcXByGDBmis3/+/PkYMGAAEhMTMX78eBQUFBj8vLG2FRYW4qWXXsLQoUMxePBgbNiwweLr4sq4Yp8aO27fvn0YPnw4EhMTMXz4cBw4cMDi6+LK2LJPCwoKMHHiRAwYMAADBw7E0aNHDX7nnj170L9/f8THx2PFihVV+7/66ivEx8ejffv2uHXrltE2Z2Rk4NFHH0VCQgImT54MjUYDANi4cSPuv/9+JCUlISkpCevXr7fq2rgqrtinxo7Lz8/H+PHjkZiYiJEjRyI1NdXi6+LKOFOfvv766+jfvz+GDBmCadOmoby83ODnjT2nX375JQYNGoTExEQ8++yzuHbtmtXXxxVxxT6t6Xn+7bffkJSUhMGDB+Ppp5+2+Lq4Ms7Up2+88QaGDh2KxMRETJw4EcXFxQY/f+rUKSQmJiI+Ph5z5syBqBL4448/YvDgwejQoQNOnjxp9bUxGYlxS7KysqRTp05JkiRJhYWFUkJCgnT+/Hlp/vz50vLlyyVJkqTly5dLCxYskCRJknJycqTjx49LH374obRy5Uqdcz300ENSbm5urd956NAh6dSpU9LgwYN19u/du1cqLy+XJEmSFixYUPWd+hhr29KlS6te5+bmSvfcc49UVlZm0nVwJ1yxT40dd/r0aSkzM1OSJEk6d+6c1KNHD5Ougbthyz795z//Ka1bt06SJEkqKyuT8vPzq31fRUWF1K9fP+nKlStSWVmZlJiYKJ0/f16SJOqTjIyMWu+NiRMnSlu2bJEkSZLeeustae3atZIkSdKGDRukWbNmWXM53AJX7FNjx7333nvSJ598IkmSJF24cEF65plnLL0sLo0z9enu3bslrVYrabVa6bXXXqt6/vQx9pweOHBAKikpkSRJktauXStNmjTJqmvjqrhinxp7TvPz86WBAwdK165dq2qrJ+JMfVpYWFh13Lx586q+X58RI0ZIR44ckbRarTR27Fhp9+7dkiTReJuWliY9/fTT0okTJ6y5LGbBlkI3JSwsDJ06dQIABAYGonXr1sjKysKuXbswbNgwAMCwYcOwc+dOAEDjxo3RpUsX+Pj4WPyd99xzD0JCQqrt79GjR9V5Y2NjkZmZafDzxtqmUqlQXFwMSZJQXFyMkJAQq9rpqrhinxo7rmPHjggPDwcAtG3bFhqNpkqT7UnYqk+Liorw+++/Y+TIkQAAtVqN4ODgat934sQJREdHIyoqCmq1GoMHD8auXbsAUJ80b968xvZKkoSDBw+if//+AIBHHnmk6vMM4Wp9WtNxaWlpuP/++wEAbdq0wbVr12yk130AACAASURBVJCTk2PqpXAbnKlPe/fuDZVKBZVKhS5duiArK6va52t6Tu+//374+/sDqHnsdndcrU8B48/p999/j/j4eERGRla11RNxpj4NDAwEQM9iaWmpwfZmZ2ejqKgI3bp1g0qlwrBhw6o+36ZNG7Ru3draS2I2LBR6AFevXkVKSgq6du2K3NxchIWFAaAHqCaXIiVjx47F8OHD8d///teqtmzYsAG9evUy+J6xtj311FNIS0tDz549MXToUEyfPh1eXp5967pKn5py3E8//YSYmBio1Wqr2uHqWNOnGRkZaNSoEaZNm4Zhw4Zh+vTpKCkpqXZcVlYWIiIiqv4PDw83ugAxRF5eHoKDg6sm0YiICJ3Pb9++vcpd5saNGyaf111xhT6tiQ4dOmDHjh0AaAF0/fp1jxUiBM7Sp+Xl5UhOTkbPnj2rfb6251Tw7bffmjR2uzuu0Kc1kZ6ejoKCAowePRrDhw/H5s2bzfq8O+IMfTpt2jQ8+OCDuHjxIkaPHl3r5409p/bEs1fWHkBxcTEmTpyIN954o0pzYS7ffPMNNm3ahM8++wxr167F77//btF5li5dCm9vbwwdOtSsz/3666+IiYnB3r17sXnzZsyePRtFRUUWtcEdcMU+NXbc+fPn8cEHH2D27NkWfb+7YG2fVlRU4MyZM3jiiSewefNm+Pv768Q3CKQ/4xWUqFQqi9qs//mHHnoIP//8M77//nvExcVh6tSpVp3X1XHlPhWMGzcOBQUFSEpKwn/+8x/ExMR4pJeGwJn6dNasWejevTu6d+9u0nfrfz45ORmnTp3C888/b8YvcD9cuU8FlZWVOH36NJYvX46VK1diyZIluHTpknk/xI1wlj599913sXfvXrRp0wY//PCD2Z93BCwUujHl5eWYOHEiEhMTkZCQAIDM5dnZ2QDIdN2oUaNazyPc/Bo3boz4+HicOHECN27cqEoo8c0339R6jk2bNmH37t344IMPqm76adOmISkpCS+88EKNbdu4cSMSEhKgUqkQHR2N5s2b4+LFi2ZeDffA1frU2HEAkJmZiQkTJmD+/Plo0aKF6RfBzbBFn0ZERCAiIgJdu3YFAAwYMABnzpyp1qcRERE6lp6srKwqDaoxxo4di6SkJEyfPh0NGzZEQUEBKioqAFAfis83bNiwyto7atQonD592oKr4R64Up/WRGBgIN59910kJydjwYIFyMvLM8kd1R1xpj5dvHgxbt26hWnTplXtM/U5BYD9+/dj2bJlWLp0qUd7aLhSn9bWhp49eyIgIACNGjVC9+7dcfbsWfMuhpvgTH0KAN7e3hg0aBC2b9+OysrKqs9//PHH1T6v/5w6As9V+bk5kiRh+vTpaN26NcaMGVO1v2/fvti8eTPGjRuHzZs3o1+/fjWep6SkBFqtFoGBgSgpKcG+ffvwyiuvoGnTpkhOTjapLXv27MFnn32Gr776qiqWASAtihJjbWvatCkOHDiA7t27IycnB5cuXfLIhYkr9qmx4woKCjBu3DhMmTIFf/3rX036TnfEVn3apEkTRERE4OLFi2jdujUOHDiANm3aVOvTiooKpKenIyMjA+Hh4di6dSsWLlxY47n1s7Ldd999+OmnnzB48GBs2rQJffv2BUCTrZjQfv75Z7Rp08asa+EuuGKfGqOgoAB+fn5Qq9VYv349unfvbrF3givjTH26fv16/Prrr1i1apVOGIWpz+mZM2cwY8YMrFy50mNjzwDX7FNj9OvXD7Nnz0ZFRQXKy8tx4sQJPPfcc2ZcDffAWfpUkiRcuXIF0dHRkCQJv/zyC1q3bg1vb+9qa6z69evj2LFj6Nq1KzZv3mzQzdSeqCRD9kvG5Tl8+DCeeuoptGvXrmqQmTJlCrp06YLJkyfjxo0baNq0KT7++GM0aNAAN2/exIgRI1BUVAQvLy8EBATghx9+QF5eHsaPHw+AXBSGDBmCl19+2eB3TpkyBYcOHUJeXh4aN26MV199FY8++iji4+Oh0WjQoEEDAEDXrl0Nugvm5eUZbFtWVhamTZuGmzdvQpIkvPDCC0hKSqqjK+e8uGKfGjtuyZIlWLFiBaKjo6uO/eKLLzxukWKrPg0MDERKSgqmT5+O8vJyREVF4d133zWYJOh///sf5s2bh8rKSowYMaKq79esWYOVK1ciJycHjRo1Qu/evTF37txqn8/IyMBrr72G/Px8xMTE4IMPPoBarcbChQvx888/w9vbGyEhIZg5c6ZHCoau2KfGjjt69CimTp0KLy8v3HXXXZg7d67B73d3nKlPO3bsiMjISNSvXx8AjbETJkyo9nljz+lzzz2H1NRUNGnSBAApXZctW1ZXl85pccU+rel5XrlyJTZu3AgvLy+MHDnSI4VCZ+lTrVaLJ598sipBYvv27TFr1iyDCrWTJ09i2rRpKC0tRa9evfDWW29BpVJhx44deOedd3Dr1i0EBwcjJibGZCWBNbBQyDAMwzAMwzAM48FwTCHDMAzDMAzDMIwHw0IhwzAMwzAMwzCMB8NCIcMwDMMwDMMwjAfDQiHDMAzDMAzDMIwHw0IhwzAMwzAMwzCMB8NCIcMwDMMwDMMwjAfDQiHDMAzDMAzDMIwHw0IhwzAMwzAMwzCMB8NCIcMwDMMwDMMwjAfDQiHDMAzDMAzDMIwHw0IhwzAMwzAMwzCMB8NCIcMwDMMwDMMwjAfDQiHDMAzDMAzDMIwHw0IhwzAMwzAMwzCMB8NCIcMwDMMwDMMwjAfj4+gG2IJjx47B19fX0c1gaqGsrIz7yQ3hfjWdc+fOAQDat2/v4JaYBvete8L96nzYamzgvnVPuF/dk7ro17KyMsTGxlr0WZUkSZJNW+MAUlJSEBMT4+hmMLXA/eSecL+aTp8+fQAAu3fvdmg7TIX71j3hfnU+bDU2cN+6J9yv7kld9Ks152T3UYZhGIZhGIZhGA+GhUKGYRiGYRiGYRgPhoVChmEYhmEYhmEYD8YtEs0Yory8HFevXkVpaamjm+JR+Pn5oXnz5qhXr56jm8IwDMMwDMMwjAm4rVB49epVBAUFoWXLllCpVI5ujkcgSRJyc3Nx9epVtGrVytHNYRiGYRiGYZyYgweBLl2AgABHt4RxW/fR0tJSNG7cmAVCO6JSqdC4cWO2zjIMwzAMwzA1UlICTJgAPP+8o1vCAG4sFAJggdAB8DVnGIZhGIZhakOjoW1qqmPbwRBuLRQyDMMwDMMwDON8aLWObgGjhIXCOmTevHlYtWpV1f9jx47F9OnTq/5/7733sGzZMkycOLHWcy1btsyiNrz++uvo378/hgwZgmnTpqG8vBwAxf/NmTMH8fHxSExMxOnTp3Xa2b17d7z44os653ryySeRlJSEpKQk9OjRA6+88opFbWIYhmEYhmE8m8pKR7eAUcJCYR3SrVs3HD16FACg1WqRl5eHCxcuVL1/9OhRxMXFYdGiRbWea/ny5WZ/f2VlJYYOHYpt27bh+++/R1lZGdavXw8A2LNnD9LT07F9+3a88847mDlzZtXnnn/+eSxYsKDa+b7++mskJycjOTkZ3bp1Q0JCgtltYhiGYRiGYRgWCp0LFgrrkLvvvrtKKDx//jzatm2L+vXrIz8/HxqNBmlpaQgODsaQIUMAABs3bsSECRMwduxYJCQkVAlmH3zwAUpLS5GUlITXX38dAJCcnIyRI0ciKSkJM2bMQOWfT1a3bt3w8ccf49FHH8XRo0fRu3dvqFQqqFQqdOnSBVlZWQCAXbt2YdiwYVCpVIiNjUVBQQGys7MBAHFxcahfv77R31VUVISDBw/i4YcfrpsLxzAMwzAMw7g17D7qXLhtSQolW7cCycm2PWdSEjB4cM3HhIeHw8fHB9evX8fRo0cRGxuLrKwsHDt2DIGBgWjfvn21en4pKSnYvHkz1Go1BgwYgNGjR+Pvf/871q5di+Q/f0RaWhp+/PFHfPPNN6hXrx5mzpyJ77//HsOGDUNJSQnatm2LSZMm6Zy3vLwcycnJVe6rWVlZiIiIqHo/IiICWVlZCAsLq/W379y5E3FxcQgMDDTlUjEMwzAMwzCMDmwpdC48Qih0JMKF9OjRoxgzZgyysrJw5MgRBAUFoVu3btWOj4uLQ1BQEACgTZs2uHbtGpo2bapzzIEDB3Dq1CmMHDkSgFx+AwC8vb3Rv3//auedNWsWunfvju7duwOgmEJ9TM0cumXLFjz66KMmHcswDMMwDMMw+rCl0LnwCKFw8ODarXp1hXAhTU1NRdu2bREREYEvvvgCgYGBGDFiRLXj1Wp11Wtvb+8qt1AlkiThkUceqXIlVeLr6wtvb2+dfYsXL8atW7ewePHiqn0RERHIzMys+j8zM9MkK2FeXh5OnjyJTz/9tNZjGYZhGIZhGMYQbCl0LjimsI65++678csvvyAkJATe3t5o0KABCgsLcezYMcTGxpp8Hh8fn6rMoXFxcfjpp5+Qm5sLALh9+zauXbtm8HPr16/Hr7/+ig8//BBeXnJ39+3bF5s3b4YkSTh27BiCgoJMEgq3bduGPn36wNfX1+S2MwzDMAzDMIwSpVDIAqLj8QhLoSNp164d8vLyqpLJiH3FxcVo1KgRSkpKTDrPqFGjMHToUHTs2BELFy7E5MmT8be//Q1arRb16tXDjBkz0KxZs2qfe/vttxEZGYnHHnsMABAfH48JEyagd+/e+N///of4+Hj4+/tj3rx5VZ958skncfHiRZSUlKBXr16YO3cuevbsCQD44Ycf8MILL1hzSRiGYRiGYRgPR+k+qtEA/v6OawsDqCRDwWUuRkpKCmJiYmrdx9gHY9ee+8Q94X41nT59+gAAdu/e7dB2mAr3rXvC/ep82Gps4L51T9y1X8+cAZ55hl7//DMQHOzY9tibuuhXa87J7qMMwzAMwzAMw9gVpcuoRuO4djAEC4UMwzAMwzAMw9gVffdRxrG4tVDoBp6xLgdfc4ZhGIZhGKY2lJbCsjLHtYMh3FYo9PPzQ25uLgspdkSSJOTm5sLPz8/RTWEYhmEYhmGcGKVQWFTkuHYwhNtmH23evDmuXr2KmzdvOropHoWfnx+aN2/u6GYwDMMwDMN4LPv3A9evAyNHVn9PqwWOHgViYwG90tZ2Rek+WljouHYwhNsKhfXq1UOrVq0c3QyGYRiGYRiGsSsTJ9J2xAhApdJ97+hR4MUXgUceAaZPt3/bBGwpdC7c1n2UYRiGYRiGYTyZGzeq77t4kbbbttm3LfqwUOhcsFDIMAzDMAzDMG6C0i3z3Lnq72dk0PbOHeDKFfu0yRDKdrJQ6HhYKGQYhmEYhmEYNyEzU359/nz19wsKan7fXigthRxT6HhYKGQYhmEYhmEYN+HSJfl1Vlb198vKAJEovrjYPm0yBLuPOhcsFDIMwzAMwzCMm3D7Nm0DAoC8vOrvl5YCjRrRa0cKY5x91LlwqFA4bdo0xMXFYciQIVX7bt++jTFjxiAhIQFjxoxBfn6+A1vIMAzDMAzDMK5DeTltw8MNC4VlZc4hFApLYf36LBQ6Aw4VCocPH46VK1fq7FuxYgXi4uKwfft2xMXFYcWKFQ5qHcMwDMMwDMO4FkIobNIEuHWr+vulpWRFDAhwrPuosBSGhLD7qDPgUKHwnnvuQUhIiM6+Xbt2YdiwYQCAYcOGYefOnY5oGsMwDMMwDMO4HKZYCv38yELnDJbCBg1cx1IoSboxm+6E0xWvz83NRVhYGAAgLCwMtwypOPQoKytDSkpKXTeNsZLS0lLuJzeE+9V0SkpKAMBlrhf3rXvC/ep82Gps4L51T8zt18uXQ1Ba2hBa7W3cutUAx49fhlotVb1/82YzBARooNWqceWKBikpN+ui2Sa0MwilpY1RWXkHmZlqpKRkOKQdALB/fwCaNKlE27ZlNR63Y0cQVqxojFmzMtGxY6lV3+lsz6vTCYWW4Ovri5iYGEc3g6mFlJQU7ic3hPvVdAICAgDAZa4X9617wv3qfNhqbOC+dU/M7dd9+8gS2KWLP7ZuBcLDOyAiQn5frQaaNSOLoq8vEBMTWgetrp2jR6mdrVr5IyPDsXPj6NG0PXy45uPWr6c2+/i0grXNrYvn1Roh0+myjzZu3BjZ2dkAgOzsbDQSkbAuxuHDwMyZZGZmGIZhGIZhGHtQXg6oVEDon7KevgtpWRkJg/XrOzam8Ndfgago+isp0S1RYU/KFMZBjabmY0UcpEpVd+1xFE4nFPbt2xebN28GAGzevBn9+vVzcIss4/RpYMsWCuZlGKbu0GpZ+cIwDMMwgvJyoF49SjQD6BazB+SYwsBAx8YU5uQAbdsCQUH0v6MEVGUtR/1rpY8QCr2cToKyHof+pClTpuDxxx/HpUuX0KtXL6xfvx7jxo3Dvn37kJCQgH379mHcuHGObKLFNGhAW1ErhmEY26PVAvfeC3zyiaNbwjAMwzDOQUUFCYUtW9L///iH/J4kkcHCGSyFBQVAcLAsFDpKQM3NlV9fv17zse4sFDo0pvDDDz80uH/16tV2bontUQqFTZs6ti0M464IpcuaNcDEiY5tC8MwDMM4AxoNCYV/hqoCoOyeQUEkMGq1zmEp1BcKCwqAyEj7t0OZ+dSThUI3/EnOAVsKGabuUbp8MAzDMAwju48CwPvv03bjRtqK+DlfXxIKS0pkQccefPEF8PDD1A6NhgRCkT7EhIIDdYJSML5xo+ZjxbVyVPxjXcJCYR0hbvCcHMe2g2HcmZuOyaLNuBg3bwI9e1KsN8MwjLujFAr/+lfaHj9OW5Hrws/PMQaMJUvo+95+m/4PDpZjHx01pwuhMCDAdEthWc2VK1wSFgrriMhIeiDdtcAlwzgDfyYqBgD8+KPj2sE4N0eOAHfuAM8+S+5JDMMw7kxFBeDzZ4BYcDAQGwvs2QMcO6ZrKWzYkF7b00LXtSttd+6kbefOQOPG9Fo5p5tDdrZ11s7162kbFQXk59d8rPie8nLLv89ZYaGwjvD2BqKjgfR0R7eEYdwX5QTy1lvV024zDKC7WFi2zHHtYBiGsQfl5VSLUFC/Pm2ff15XKBTCmD2FQtEWAGjThrKPqtWUFGfvXvPOVVkJ7NoFDBpEW0soLpYNOA0b1h5jKeaT2kpXuCIsFNYhoaG6GY0YhrEt+lrFkycd0w7GcaxfD3z+ec3HKBc8wqWKYRjGHZEkirf385P3KQUx4T6qtBTaU6GqdFVt1kyu9zdyJHDmDHD5sunnWrAAmDqVXlvqeqoMKzAlG6to/507ln2fM8NCYR3SqJHtH7SSEtuej2FcmYwM3exqnHjGs0hLA+bPB5YurTnoX3lfKBdHDMMw7saFCyRc9e8v71POk8qYQmEptJcBY88eapugUyf5tXArNcfDThk2Ymm9YvHbN2wwLRurmE9WrLDs+5wZFgrrkAYNTBcK79wBZswAUlONH3PwINCrF7BunXXt+u4768/BMI5Gq6XnZehQ4NAhctlmodCzeO89+XVGhvHjjh0DunWjRRAr1hiGcWeOHaPtQw/J+5TKMOE+KkpSeHvbz1IoMqACwPLlwJgx8v+WZCBt3Vp+benYLuLMQ0JqtxRqNJbHPboCLBTWIY0akbD3zDOkGenendychD/ymTOyxubkSeCHH4AXXzR+vpQU2p49a3mbJAmYPZtM7rUF0zKMM3P7Nj1fLVpQvaDQUM5G6mn4+8uva0ogc+UKxa04ulAzwzBMXSPcGoOD5X1KoVAIT76+NHc2alR3lsIzZ6gEhUCpuP3rX3Vr/VniypqdDSQmUkyipe6cYi0cFFR7iY7jx2kd3aQJZVF1N1gorEOiomh75gzw/ff0eulS4N//Bi5eJGGxb18KCE5Lo/cLC40Hr4raKdZouq9elV8bskpWVNADfPEicP685eZ4hqlrxEAuUmoHBfGC39MIDZVfGxMKKyvJHahBAxYKGYZxf8Qa0tdX3qd0HxWl0sT7jRsDp07Zfr0nSbTOXbKE1rlaLXDtGr0n5m0lajVZL7/91rTzV1bSbwkLo99n6do4P5/WD97exsvJbd8O7NsHvPwy/T9vHnDvvZZ9nzPDQmEd0qKF/Pqnn+TXX38NjBpFrzUaCnJVuj4ZS5YhBLqdOy3PenTkiPz64sXq7//yCz3Ao0YBTzwB/PabZd/DMHWNEAKENrR+/dpjARj3oqhITrtuTChUugaZEi/CMAzjypSVkYDj7S3vU1oKhUeNEAr79KH1oK3dIpVebQUFZNgoKSFjyOrVhj8THU3tOHq09vPn5JCgGR5OQqE1lkKxjhDGHP1whDfeACZNkv9v396y73J2WCisQ+66C/j73ymzUkEBBdH++itt1WogIYGOO3uWTOrh4eQOJayK+ghrIgBs22ZZm86do4enXj3D8Vf61kNeQDHOirAUisE8MNCzrUAlJZ73+/PzgebN6XVhoeFjlMoDthQyDOPulJXpWgkBXUuhEApFdtJ27WhraxfSzEz59a1bFPsPAE8/TVlHDTFjBm1feKF2Ie/UKdpGRNBvsVQoLCggpSEAtGpFW6UBRZ+vvtK9nu4EC4V1iEoFPP44mZkBEgb9/CiucP9+YO5cejDWrSPNSJs25GNtyK2zqIge2DFjyMz96ac1Z9szxsWLdNM3aQKsWQP861+6Vse0NBJORYp3d6zDwrgHQghgSyHx9NNA797WFfB1NXJyKNGAl5fx5ATCI8KUJAKMdRQVedb9x1iGVuue6fydhdJS3XIUgG4pHkPuo4DthUJlbODHH9OaF5CFUEO0bw/87W/0evHiml1ad+2i+b9bN9oqS12Yw+3bslAYFgZ07kyJHQXKdXCjRlRP0V1hodAOxMeT4Pf887r7VSpy07xyhZLING9ON6S+LzMgP1wtW1KR7txc4I8/zG/LxYskfAotx86d5CctSEujB0Jo33ngZpwVV7EUZmcDkyfXnFm4Jnbtogm1JioqaBwBKM7BGa+DrRG1uJo2JeWaMo15YSGwezcd8+675MrftSsLhZag1VItyEmTgOvX6T5WppQXFBSQG9qyZXXXlspKik1iXJv33wd69mQFQl1hyFKoFAr1LYUiju611+Tkh6Z+z/btxvtRKRQqhSx9gVWfxETa/ve/clF5Q1y7BnToQB52YWGWu78qLYUAWR6VbVe+Xras9va7MiwU2onWrQ2bm7t0kV/ffTclTrh1q3qGUbEADgkBHnyQzvX55+YFBufl0bnbtNEdID74gB4mjYYm/dat5ZuehULGWSkoIMVKYCD9HxhIwoCzJUf6v/8jt/Hduy37/NSpwH/+o/sslpdTvadt2yj29/77dT8j3HTcmcJCWsCEh9OYduGC/N4nn5Dr/p49NOY99hgJhCwUms9331EtyH37yEPlyScpeYR+Uoc1a2j7xRdyUjRb849/UF+yMOHabN1KW6V7IWM7ahMKs7MpFltk/gwPl98T5SxMITmZYu2MlTi7dYvWqsISCQDTptV+3qgo4Kmn6PWRIzTfFRZWf+5v3JDdUCMi6HdZMv/n5+sKhQ0b6lodhbDZrp3sXuqusFDoYJTBqnFxpPUGyBVM+QAohUJfX2DsWLIUrl9v/Nx37gCHD8v/HzhA2y5dqL7XkCHAuHGkbf/jD3oIJIkEU5HqnYVCRp9btwxbCkzl+nUqiVJRYV079uyh+1RMbA0b0uThbHXoxMLH2oVy//7A779T9uI1a4ApU4A336QswQJR0ubtt2n8OHrUfRfQly/TtnlzoGNH+l/ED4px6/XXaSuSB4hEM86mOLCGykpaONVVPysTkikTpn3wgfy6oABYu5YUir6+pMSwNefP0zN/5Ur1haskyb+/Vy85ZINxToQQYk6RcleiuNi6OdJaDAmFwhoI0BiotHZ5eclJVMzxaBGCk35SmMpKWlPeuAFERsrj79ixwIgRpp178mQar1NT6TMPPUReMOK77tyhtYhYM4eFkWHDXBfSigoSOJVCYYMGNKaJNYpIOjNvHimi3RkWCh2MWk3a1yVLSIvdrZv8XloaCXJ5efKNLm7cRx6hB/k//zEe9/fss8BLL8lajgsX6Ps6dSLtysyZdAxAC3URoxUUROdWq2VXgl276IEQwumWLTRBM57Hv/9NloJffrHs82+/TZrFNWt0F+e7dlGtTlMQbmxKAbCu4iKsobRUDlgXqbjNRQi9JSWUDvurr6i0jWDIEGDiRHo+n3gCGD6cjp07l4L1k5Ot+w3OihBWWreWPS5E4gF9F6gOHWhbvz4JD+Zow52Z1FTg4YdJuSfuienTq4cq1MaCBXIcj5IzZ8iq4+0tJ4AQfPcdCYIAKR/Ly8lq0KkTZdQ2xLx5dE9agnK8mT5dtw+nT6dF4+nTdO9v3MiZs52ZJk1o665C4YgRNEcaS35V1xgSCtu1ozCE2Fj6X//90aNJcBTKNlMQCk+RBPHyZVLE3XcfKSj37KE1o1DWdexo+rlVKvIA2biR5vt77qH9wioplKyRkbQV5YlMnf+zs0nR+t//0v/ingTkchlivXvlCs3DxpLjuBMsFDoB990n1ztp3pwmeIAEtldfBT76qHpNtuBgYOFCejBWrap+zvJyedEkkm8IE7myWKivLw0E165VT/Hv50fCX//+NJlv3AisWEHvzZxJlgp30rgzpiEGXWVBWnMQMbNLlgBffinvnzqVFp41FSHXb4MSZxQKf/mFfq+Pj2VB8BoNCTGjR1O81jPPVD/mscdof0ICaVZHjqT9O3bQdtWqunPncyRpaTR+RUbSYsPLCzhxgrS7p0/LGuThw2Utudj3wgvAAw/U7Gnh7JSXkyunWHiuWkWvf/qJBKYlS0zz9JAkWmidOAF0707nFKWSnnmG5o3HHweGDqWF3pQpwD//SZ/96CNS7nz2GV3jTp3Ilfn06eoL/oICmkOOHpVjmswhPZ36+rPP6PNffUX7c3Iorqm4WFZyAhR7zzgnQiD58EP7xoiuW0clweqSbdvkOU4/DMhe5OfrlqAQPPggKdGAPh7v5QAAIABJREFU6kIhQBY9/VIMxpAkOSQiPZ0MFSNGAP/7n+5x99wjz81COWcqAwfSNiCA1qBPP03K49xcuUSbvlBoKCeHIb78ks7z0Uf0v1IobNiQtmLOvnKF3FOVLrjuislCoYbTUNqN556jrbjk6el0c3p5yfFTAAVqP/QQCWr68UrKWodCa66sxaKkXTsavPSzOfr700OTm0uf9fMDNm3SXWCaWmSUcR/EQvPsWeMuoNevG1YYZGfrTjpLlui6OAOUcawmbt+mLLwA1TsSiMnB0ti9umD9elL0DBlCk5i5LrPimWzenNz1Jk4ki5BaDSxaRIvhmBjdz4SF0VZYUa9do4nU3UhLo/gOLy9aNERFkSIsLY3us/Hj6d564w35M3/9q/xaoyELmasiEjC0bUu/Q5LoNwu++ELWghsjO5vuTSWpqSQwKwWsJ56g7QsvkNAYHy+/t2gRXfM336RFk3gm9a2FyufalBpk+ly+TInWunUjAfXYMXqepk6V29a6NSkBmjalccKTsxE7M0oPD5Egyx4sWECC6Icf1t13KC3aKSl19z3GEAaBtm0Nvy+y1gvBR0mbNuTZonQhFbUA9dm8mRQ9ohaiIWGyb19S9L7zDjBnjm7soikMH07jyldfUXuTkqgtAwaQcsrfXw7BEoKnKUJhZSXw44+6+4RQCcjXRnj3ZGTo1h13Z4wKhZIk4YcffsDLL7+MBx54AH379sV9992HxMRELFy4EBmmqhMYsxEungBN2JcvywKdl16PvfYaLYiEBU8g4gcBWSjUz7Ak+MtfyLVUWByFUKh8CGJiSCOs0ehadzZsMPvn2RVl1ijGNohrKkmGywAcOUKLtnvuqZ7UY/bs6sdv367r7rdxY83fr1R4/P3v8uuoKLpPbamdLSmxLkbxwgWgRw+aZDQassboc/48eQcoE6UANDE/9hi9DgqS999zD5W0eeAB3TgRQUgIjSEAWQ39/Q3XJHVltFpacClTm7dsSQo0EcsjNOJKGjfWFQRVKsfGXGZmGq9LWxti4fbuu1SKBKDfrlzcnDlDix/hVqvP5s10b4SEkAJDWJcFajXw88+kJVfSsCFZJNetA155BfjmG4rlA+g5rFePauIKTpyg5/qpp0gjv2KFeRYirVYWCgFa8N6+TdaJ48epnc89R+154w05pnbnTt3z3LghJzlxdjIzKQujIU8gV+fOHdkyo6y/XJcox/Gvv7aspJcpnDwpJxX85Rf7u5BmZdGzZSwhihAW//Wv6u898ABthQInNZUEsDffrH7s/v20VYYyCA4dIoXcggXkJRMaSucxFy8vYNgweS3aqhV5KQiF86OPWlZW48QJUhgp3exFxn1AFgqnTCEF95UrLBTimWeewYULFzBhwgTs3bsXv/76K3777TesWrUKMTExePfdd/Hdd9/Zs60exeLFFF/VoQMtrFNSDAt0kZEUN5iaSpOIVkuD3759sgB59SrtV9ZiUdK5M71/4gR9RrhYTZ1K5964keIeW7WiAUUs2tu0IY2Us2bzO3KENNp79zq6Je6DJNGgK3zrH38cKCmRI6/LyylDoOCdd+jeKisjAVJohfv1I8VFp050P/Xoofs9NQliwi06NFQ3qxlAA7slrmmG0GrJfe7xxy0THO7cod8RGiq78khS9Xi3d96he1Vp0QJogSvcV5QeArWhUsluOh06kHbW3YTC9HRSct19t7yvZUu6N+bOpYWISG6gT9++suVLqzXNXbmu+PhjYNYsyyxnqam0IGrRgrT1779PWnkR792lCwl0b71FAtMDD9AiVWnBF/FD27bR+K60Hnz9NcUNGvIuAejZa92aYhHbtJH3e3vT87xhg/ys/vADeZq89BItRtPTzROGb9yg50YIhcI6cOMGuQ5v3arrDhcbS/PYnDm6Rag/+ogERqViyVmZOJF+X2212lyRO3dkocVUdz9rEQpMsQaqizFRoyHr+zPPkPBy8iQp9uyZ/Ezf40ufUaNoztX3MAEoRCEykhS/eXnkFQAY9jS5fJmUUXffTQLi00/L7+kbL2zJqFHkYfS3v5FCShAQQH+m3E9799I4JTKcArpzrAjTAkjBXVxsfD5xN4x23eeff46JEyeiU6dO8Bb2YQCNGzfGoEGDsGTJEgywRPRnTCIoiNzAoqPp/zNnjC92heYnI4MWGb160YJB+GPPnk2D1MWLsmuZEmGVBGgBLB7oli1Jk9KiBQ0wKhWwfDnFMi5aRNojrdb05CD2RlhlWCi0HYWFNMF17Ur/FxQACxbIPiGHD5NV+7HH6F7auZPuyQcfpJg3UfJkzhyyJixerOu+JiaqmoLd09LoPt62TXZdETRpYrtFxrff0uL1+nVKo22uYCjaERpKyUAGDaL/ldbr7GzZsqXvcqu0Dipfm8KCBSQIPPwwTfL2dNGyB8JRRWkNVBYUnjZNzqBsiNdfJwsbYLzovT0Q1gpDSbvOnKF7vaSErOm5uWQZv36dtNzffktCvxivH3qIFjA+PrQ4evhh+VxeXrRg/cc/aFGVne1TlXCnTx/dWJnvvqPva9dO1+poDlOn0jnffpvqen37LYU7+PvT/NSuXXX3rZr4+WfaiiQZsbG0IJw6lSxp+q5wPj50PQASugVCIePIzJCmosz66m4eL/n5JLR7eVlecNxchAUpKYm2+/ZRgiJbxjQqk5+MGkXPW3Y2zXf28kgQLtPGFIleXjVbvfr2pXHn/fflfT4+JESL5E6nT9P9KZTDajVlC+3Uiaz3dc2999Lz7+Ojuz80tOb5v6KC+nvbNsrlERRErsT6HkyNGlGmVCViLe7uGBUKU1NTsdfAavqXX37BmT9HVLXwUWLqDOWNqNSKKBEP5tWrcjY4tZpM6wLhUmeo6GaDBrIlQ8RlGSM4mLRDDzxAbqchIbpuQs7AtWs0YIlJVQQkM5bx9ddy7KjwsRduJgCQkuJXlYXs8GES1MaPJ9cLPz/5ngTIKv3RR/IiNCiIkhYdOkQxUMJaVlPB2osXDbsGAuTmVlJim4X+zp3AXXeRVXPXLt10/KYgFiGhoWTBnD2broeheJp77qEF6/z58nticmvZktphDqGhwIQJtDCIiaFrZk5RYmdH3IfKbHBK5ZYy1tQYIr7F0qywtkAkENN3eS4uJkXeY4+R8PrGG5Twa/duYOVKctfUaGRFgyESE8n16scfKRPne+/R/kuXgPffD8OFC7TQE26fgshIw27J5hAaSvd7Sgq1F5CtDioVxQWePWuaC19BASWX6dZNti55eZGl4NFHjVslXnmFxgnl8ya+7/33nb9Ui9Ja4Wr1/GqybGo0cimB4GD5GahrxHqgZ0+6Z+bPpzFd321fcOKE+V4E16/TVnhbCcX89u32y78ghEJzFYmCdu2oj7ZvJ+XSpEnk6fPqq2Qk+PprOd5Yf724ejUJ2o4iNNS4BfjqVRpDx48nQX34cNrfq1f1cVSlokzfynq/QiHl7hgVChcsWICWStXrn7Rs2RLzlSsXpk5RxnI8/rjhY8LCaHD99lsa7OLiKMGAMpuSIC7O8DmE641yIqoNkTLYXjEBpjJqFP0JC+bhw+6nabWG0lLTNeVFRaRJe+89mvDE4rVdO7rn2rShBYCI0/njD1qcBwTQvag/aSxdajits5cXubvddRe9Npaq/PPPqQ3KWDIlwm3S0gD/2bNly2VaGrXp3XfJEvHHH+adS2kpFOgXTxcWL/GsKhcOOTn0/d9+W7PVqzZatqQFsDu5kF67RtdS6SLVujX11eOPm7YguusuGsMcaTUSi8j8fFKuCQFGWUZE36L23XfksdG1a801v4KCyJujSRP6nUprdXq6ukpI69zZNr9Fn169SBvfrh0pVZTfc/fd5EJozG326lWysnz5JblRl5SQVdCcGmF+fvQs5+XJZZmU8UZiwe6MFBWRBU0k9Pn9d8e2xxwqK0mZYSyJkxBwmzYlpbK9hMJz50hJFhurq1Q0FPOn0ZDSYcIE875DWArFHBccTPdwVBRZzCWJ7mVzagGaS22WwtpQCj+vvipbFYVQrUzSY4ryzZ507Ehzf1lZ9ff27qV7TbiTizJGNeHlRePvmjVynKi7Y1QozMvLQ5QBJ9pWrVrhliP9bTwMLy+yqii14Pr4+JCp+9w5Wvw99BANQkqr4KFDwMGDlHK8JswdSDp2pO+1Z1rp2lAOCF9+Sdfk118d1x5nY+ZMOdV8bShdmH79laxnUVGksd+5kywWzZqV48QJus6pqWRBFgiNacOGtFg3ZKlWUq8eLWa/+MJwOn0R1C7cV/WJiSEr+b59tf82fSoqaMGdmUmTe34+TYheXiSUbd5sWop/gRAKlXGPAQH0rAh3wexsWui+9JJ8jLCS3rxpWLFjLsK1zp0UI9eu0cJLX0iIj9dNPlQTAQFkffr+e8dYjUpK5EVkairFt/TqRbVn9+/XVdAJYU6ZUVAUmzaHmTN1n43OnevWLWrRIvIU0I9lf+ABeq6UmYeTkykx0rVrZG345ReKZV+2jLLGmmstB2QlqEh/oBQKnal0jT5CKSZirVetMj9zsaM4d47mjXXrqB+V1hZAFgojIui+sJf7aGamPGYMGybvNxSWI7yLzFEYiRIN3t66isDOnWnuKyigOeH558lqLhQVtsZaoVCpyO3cWVeAHjqUxqIdO2iMMhSO5Eg6d6b51ZCn0fnz8muVynD2VUM0aWJefUVXx6hQWFqDr1FN7zG253//IwtJTdx3n/xaWBfFAjwykiZgff9rQ5g7kHTpQlo1Uevl0iVyIXBkYLxYgLz/PgnTDRrQgqOuso25GqJkQ00umgKlf/5vv5HG+uGHaVD18qK/9u1LcfIkWaI0Gt1FphCIRo0yfbEuhFV9wU457Bizbvj70wLyxx/NW0RJkm6GNZHxT9QPFZZJZbrx2sjNpQWCckEsXk+ZQovlnBxy1VNOxAcPkrCQnl49kY4lCFdAd9HlJSeTgsIWhYRHjqTFon5ZFHtgzK3944/pHhg2jGLpZsyge3P6dBpbly0jwdEUTbc+Xl7kFTJ1ahbmziWlWV0mhfD2Nmzd8/cnxdKOHTRmlJRQ3FV6OsUmnT4tu3cBcpkmc2nblp6tS5doPMjLoxhKgbGsrI5GjM2dO9P1KCx0bK3RkhK674wlTNm+nRTOv/4qFxcHyD1TvyyKsA43bUpzs70shUol26hRcjiAIaFQuDybw08/kaAkYiWVCMHq7FnZSmgoE7WlzJkj1w4VfWQLy1aLFrrj7JtvkjdNw4ZyhmtnQtixDMXQX7hAYRwdOlDyLXO8DjwJo9PB/fffj0WLFlXbv3jxYtwrVkqMXVCraxfoWrWi4xo1kmtx+frSYGHOAGeuH7pYmKxbR25xkyYBn3xCAoQjKCmhSWbsWLKYenkBgwdTgPTcuY5pkzOh0cjCkilCoYgH7NaNlBNaLcVkKGnbtgwFBbJGWJnaefRoWtgoF3i18dlntNUf2JXxHTXFPAUG0iJKTJKmcPAgWT6FlXPLFvodQhgU986RI6YLV9evU9yacoHg6ytPph99RIK0WKiI9i5cKNebs4UFXlic7KWRr0vu3KFsrYBthMLevele+r//s/5c5lJTf7RuTXE7wcGknVerKYGDWk2Lb0OZA82he/c76N/funNYS//+lFDqo4/IM0AoEi9doj7517/kLKNKpae5REWRK7h4brt3l8cPZ50TLl0ir4lmzWT3PUfWXFy9mtYRxupezptH28mTKWxDWThd6bZ++7Y8voeF2V8oFJYtLy9SuAUGGhYKlV4Vppbo3raNth9/XP09kZ33tdfkfbYSCrOzyYvl55/pPi8rI2WMKUYAY8yZQ66hIgzkiy/I6l+XCiRbIIRC/ThxrZaEwl69qObh0KH2b5urYLSLp06digsXLqB///6YPHkyJk+ejP79+yM1NRXTpk2r84bt2bMH/fv3R3x8PFboF+FjquHtTQtZ/dTcAwaYZ+I311IYGirHYD31lBwj4wihsKRETpqgtLyMH0+DwHffOU5YdRYOHpRfmyIUHj9O22eekfcp3UMBoHnzcp1jlW4ZrVqRNcIci1e3biQo6ZdCFYvo2gqOizirPXtIgKjtd0oSBc8HB9NkCNDEqrQ0+vqSBX7zZsqiaorVWVlXTUmbNvIid/9+2dVo1Cj5GCEQK+soWYo7CYVKF6DakmKZgq8vjZEHDtjfBV7EMk2eTPeW0uVs3DjLE0W4Cs8+S5b49evJMq8UdAcOpAXo55+T1d+axWjv3rQgXLiQ/o+MJMtW3750PzmjB0l6Oi1wvb3lOdlRQmF5uSwMGssfIMIEALICf/IJjX1duui6SQrBKTKShJa6dh89coRcQPPySCmgP2Y0aWJYKFTGfZsSi63R0Nz65JOG3bH1XRXr1bOdlVpkBAUolrO0VHcNaAkDBujOs1266CaXc1b8/Ukhoe8afvUq9ZHS/Z4xjNGhNjAwEIsWLcKyZcswePBgDB48GMuWLcOiRYsQaKmzsolUVlZi9uzZWLlyJbZu3YotW7bggrEUUUwVjRrpphY3BxFrqNTwmcrMmWQJEu5QkZFkOZw0qeb6PFqt7RZixcVyCnJAt36ZWk1JCgICDNfbcSby8shd7Nlndetr2YodO0j4ad3aeDKXCxdQFSMIkLtoz540SSxYUH2BFhFBnShqf5mTrMgYhmrrCY2ysfpLgu7d5VqJycmyoGeMa9dIKBg5kqyDwsVTWW8RMC8eSaul62togRAQQM+MQBk3qEyD3bSpnCHTGtRq+nOkpcFWKBUFthAKAbJGlZfLCi1botGQu5WhzLXifk5IIIXeunVkZfm//9MtJ+GueHvLc8eMGZQ85623aAE6ejQd4+dnfVztiBFyBmFA9mQQipkZM6w7v63RaklYFZlWxXLL3kXQBWfOyGOHsWckO5s8cv72NxLkRYKsfv1IGBOfO3KEhF0R4xkSQs9IXUQkaTSkXHnmGXlu6tZN9xhjQmFRkSzImSIUpqeTElFfYSpQqWg91LkzhWA88ggJ2LYIs9Ev31RQUHvsvjvTuHH1+Vl4y7FQWDs16t80Gg0iIyMRHx+P+Ph4tBKjVB1z4sQJREdHIyoqCmq1GoMHD8YuZ1/Nuzhvv02LEUvl/TfeoEFv0SLSwJaVUUyYfpC5kpkzjWdDNZfTp0nj6+9Pri76OZJ8fSk5iS39+G1JZSVlToyPp4Xh6dNyXJutkCTSZvbsSYOjMaHw8cdpchcDq8hG1rev4WxjwcFaNG0qW+T0k0pYgiGhUGQ+NWR902fECLp+L75Ifa6/oFLWBxTWJxFrtHkzFfft3Vv3M8uXy6+VKeINJSm5eVO32LY+oaGyG6ly0fvyy7JiRrhJ2oLAQPcQCsU9sXQp1b60BWKsqKk2pqWsXk0L4OnTyVVRea+Ie1JYBIODyavDkoQqrkpYGM0dQ4eSsiQpiVzVLK2PaAhvb3JFFQihUHiV/PST4ZjSI0cck7F39myKHxTJtOxtKVy6FNi0Sb5XDx8moaZXL1L86gsyGo2clOuVV3TvX5EoR6wDrl3TnZuFF1NdKGSUpZBEPypDGwC5hqv+byoqkuMATUkII8aOmpbIo0eT14xKRecuLjZee9ocMjLI00CULNuyxXpLoStjSCgUax0WCmvHqNfx2rVr8fvvv8PLywvdunXDaKG6swNZWVmIUNRiCA8Px4kaVvNlZWVIsTQHPaODNZdRWBujonxRWkr+JCtX3kFYWBZUKkpQpOynjRtbAgBOnUqvVoTcXA4eDEJpaWN89FEGvLwqDf6O0NAG2L27AQ4fvoz69eVZ4No1HyQnN8Dzz+dCrXZMhpw//vDH2rXhiI7WoGVLDfz9tdi2LRgffZSLAQNsoyK+dcsbN25EISQkF8XF3rh0qQGOHbsMX1/5N9+5o0JpKZm3hOW1sPAmUlKKDZ0SAFBWVoq2bbNx6VIQVCrg4sV0q9vq59cA5841wNKlOejTh1ZD27eHo1EjH9y8ec2kydTbGwgO9sOdOxHYsiULsbFy6tDRo6NRWqrC+vXp2LOnAcrKGkCjuYyUFPla6N9D9eoBc+bUw9//3gxPPgmsWXMZp0/7Yf78cPz731fRrJnsb3rihB9KSyOg1WYiJUVWg5f8aTo/ezYFGg21oawsFykpch8XFUWjrEyFnJyrSEmxTcpBrbY50tPLkJJi3ipE/5l1FGfO+OGuu0px8mRj+PjUR2DglWq1/SylvFwFjSYaO3fmo0kT26VoTU+vh08+aVa1uP7mG+Duu6+jZUsKUjp7tiEqKoJx6dJluyc9cJZ+tSdTp/rh9Gk/pKXJ/oqff67Cq682x5tvajFtWhbCwuh527evPv797yYICanElCnZ6NjRQI57G1NSUoLKSuDbb2mcatv2ClJStCgq8kJpaQucO3cLKSm1F86zpm9v3vTGp5+S1LZkSTnef/861q2LRGSkFu3aFWL79lCsX5+Jzp3lMS072welpc1RWpqDlBRdyVWrBSQpGgcOFCIkpADHjzdHQkIhUlJo1a5W02d/+CEHy5aFYsCAAowda5uMWN9+G4nSUvWfr0uh0fghMzNdR8jz8wtGVlYjHDyYgQYNZD/inJxodOlSiNLSYPzxx21ER9+u0YX57Flaf2RlZaCionZ/5IoKmh/27s1Ex46mmUmN9esff0SiYcNKxMVlYd26Zrh6tR40mnKkpDiwAKsDqVcvFEePBuDUqStV68orV5rj3ntLkZpaQ2V7B+FsY7FRoXDDhg3YsGEDJEnC8OHD7SoUSgZs6qoaZk1fX1/EWBt5z9iMmBjSXB07Bnz5pT927myECROAc+dSdPpJuDg0bx5jlcthcTHFKjRpAjz4YDujg3dCAqWff+mlDnjlFUrI07kzafDPngUSE5sgIcHydljDzz+ThWjDBv+qAue7dwM3bjS3OqmEYP9+uuZ9+jRHQQG5Vnp7d9A5vzhGyX33taixDSkpKRg5MqyqzIItnsWJEymxzX//G4WkJLIcXr5MsUYxMbX4jyqIjqZYooKCltV+g58f0K5dDIqLSYMYG9uh1vO1by9fH0nqgK1b6f/bt9tWufxptWQd8vMD7r+/lY5mPODPlHAxMTGYPBn497+BJ59srhNz6etL2uR7721bq6usqTRtCvj5BSEmxjwTTEpKisPH1tRUsqIDlBq8XTvb3GNKYmOB7Gx/xMRE1H6wiaxeTa7UL70k1/bSaNpU3YcFBfR7Ona0//V1hn61NzExVOweaKqz/803yVr5+uvBGD6cXs+bR89vWRnw7ruBWLoUuOeeum1fQEAAMjKAhg39sWYN0LEjZdnRasmidvJkM/zjH7VnV7Kmb3Ny5PEtL88fX30VjNxcuiYJCQ2wciVQWNhKZyy9eZM+c++9UQbnie7dgd9+C0BmZjj8/IDHHvNHTAyZCDt0oN+2alUU/PyA3bv98cEH1vvMl5RQu8aNAzZsANLS/BERAXTqpNvA27fJQ8rXt11V2ysqKEQiJiYAqalAcrI/Dh1qio0bjYfnHD1K16BLl3Ymjdn169Pxfn6tTJ7fDfWrsDYOGQLExDRC167Uh02a+Js1T7oTI0aQZVqjicHdd5MVWKMB2rcPQkyMDWo82Zi6GIutETKN6j7GjBmDCRMm4NVXX7WrQAgAERERyFT4Z2VlZSHM2QqiMDXy4IMUFwdQ4c8NG3TfV2b0Kqhd+VkjR46Qi8cjj9SckED53C1ZQvFbycmye8iBA9a1wxpOnNAVOAICqB7Q77/XHJdpDiIVdtu28rXQHzsOH6YEAKtXU6zPsGGmFbe+/35q7/z5tmlr48Z03xQVkWvZ0aN0HWqrs6lPQAD93s8+I8Fbn/vuo/2muux5eZEgB1BiHTFMKes5zplDyTPE7zDGU09RCnf9Y5YsoUnelolGXNl9VJkc6swZOZOfLWnRgu59ZSIba0lPJ8WTsnSEMtPixYtydlvGcSQkyDG+GzdS/HlKCiV+EnGH77xjn1qWd+5QXJqyLpqXF91DZ87I5RzqCpGhdd06mo9E+aLu3WkMadGC6hAq2byZXJ+VRc+VzJpFIQWnT9McrcwkS8ovm/8MXLxI/dW1K6qy7BqyK4jMrspM18LVtHFjipMEyJ1XGeNfVKRbUkbERJoayxcRQf1qrcv6rl30O0USGPF7rMk86urcdx9dW5FU784dWm+aWpfQ0zG6hE5MTMSnn36KTz/9FCNEOj870blzZ6SnpyMjIwMajQZbt25FX0PBTIxTExhIC+gmTahmYHq6XNhGmTfIWAD9rVsU31ZTDbHr1+WMaMoMmYZo0IAm/ylT5HiBuXPliXDvXvOKk9sKrZYmfP0g9QED6NrYyrPgt98o5iEoiLSzanX1WI6TJ2lB0qkTaYfffNO0ej5eXhQL06+fbdoK0AQnEgaJNObGitbXhIhb/ec/SfNvCGWB3tro0YPiYjZtkgUtpTAhkigAFONqDJXK8CIiNpbuU1u6FAYG6mbUcxVKS6k+mhL9ZBG2QCxo33vPNufTainWJyqKnieRil5kWpQkel1TaRXGfgwZIve9SF8wYgTw6ac0Dl+/blipZGsqKgxnC581i7Y7dtTt94tYrObN5fgrLy+5/Et0tK4AJeLUBw0ybkWLiCAhc+NGmlP0mT2bFGECW8QXCmVd06ZyjcvERMNt8/HR/U1iPdG6Nd0DQnGjdFcfP54Upvn5pNS+eZOuk6mJ/tRqOr81LvBZWZRApV07WXErvFLcpSatJQQG0vUQQqEQ8m0Zp+zOGBUK75iwOjblGEvw8fHBjBkz8Pzzz2PQoEEYOHAg2nKEqEvSowcNXFQnRhYKlYk6jNUp+ugjEh43bTL8fmUlWZEWL6YB2ZQEJ0OGUNrodevkiRYgN5Pbt8kyZ2+uXiVhtIOe96KYiBcuNC7MmENKiuwCpVLRhKifSOHqVcMZMx3FsmXkavPHHzTYW5KJcNw42Wq9ZIlucH9kJC1+REIEU+ncWS4m3bvPwKt3AAAgAElEQVQ3WWErK6snMnKWArmuailcsIDu/Rkz6Hm4915agNqa4cNJ4WCr9Pg5OdTuFi1obHrqKVqUCK+I0lLKeGqLpEyMbXj4YUryNWkSuSsLi/Ts2aRMW7FCthYWFppev64mCgtpAS/OVV5uWFEQEkLt27mzbi2WOTk03qrVcubj0FBUxWZFRZGyQ5TxEG0XFipj+PrSMYbGQ7WanusvvqD/jSVAMwfh/RMRQWP8tm2UxEsfb28aV5RZjbdvJw+Tu+6i3/711ySoC8VfQQFZPQHKljt0KHmG+PmZN963bWtaWShDlJcDL7xAAvSECbKHFFsKibg4Wu/cvi33VW33KEMYFQpffPFFvP/++zhy5AjKFCvS69evY9OmTXjhhRfwyy+/1FnDevfujZ9++gk7d+7Ey4aeZsZlCA+nwTI3Vx6plMVhlQKiEvEwG7NwKDWKU6aYvwAXriEAWSTV6pqtknWF0q1TidAYp6aSUGQNWi1dR+UiNCxM99prNCQw2SrVvy3w8pItfZ07WyZkqdXk3gpQRrp//IPOM24cWfW++cZ4KnFjCItleDhl5SsuJreVv/3N/PbZA1cUCjMzKZNenz6kzElOJqG+LhY8Xl60CLTWlV0gFpnKhUhwsHx+4R1hq5hRxjaEhVGWyPh4eZ+XF+27eJFcJyWJknBNnmzdd924QedJSKBYx8pKshQasx6L8g5iXqwLrl+Xx//YWBIQlQqzbt1I2SHmI1Ek3BZzhsiyaguPhsxMEtKEC75SsNWnRQvqW0kiYWvPHrIO/xn+DYA8Vvbvp3l07155//798rhqbphH06aklLVEyL90SRYIlfUD//IX8pgyZJH1JEQs4alTFB8MsFBoKkan19WrV+Pnn3/GmjVrcOTIEZSUlMDLywstWrRAnz59MGfOHITboogW4/b4+NCgnJNTXSj08tJ13VAiLIjG3ElE7aGVK43HM9TGoEE0EQcH00L/0CEaTOxp4UlNpeugHyvl7y8vJPOsTIp45w79LmXJkXbtqJZUaSlNoEJAdCahEKBU2/7+ZOG1lGaK/AyiaLA1sd2JiTSh9+6t6yI6aZJc+kQZO+No6tenRYtWa10hcHsiFmFKTXhdEhJCY44kUSzVZ59RgpgIC3LPiFghZZKhxo1lK7UY29hS6BoIxdTRo/IivqZyS6awb5/8+to1WZFgTCgUniTp6aQgq6yksduS2sLGuHJFjq+Oi6NkX0ri4kjJtncvWfeEt4Qt5gwhhNkihj4riwR8U+bxuDj6Pa+/TnFnJSXVPUceeICsjenpdE0iI2mc//FHy9sYEUH30s2b5tejFR4NynhlgNZaEyda3iZ3QZSCmjWLlN2PP84KOFMxKhSqVCr069cP/WwZJMR4LDExwOHD/lUC161bsjugIaFPq5W16cYsiRs20MBqzeJ+9mz5db9+FFdy9qx15zSXY8covkCtrv7e99+T4GFtjIDQZioXEHFx5Bpz5AhNegsX0v6mTat/3pG0aEF1NK0hMpKsTFotxbb4+VESEEtRq+W6UJJEAnZsrFx0W3+ydjSBgdTOkhLLa5Hai6tXgU8+IfefRo3s584cEkL3R1ERWZMBumeUY4SppKfTPaZc7EVF0cISkC2GvFBxDUJDaey8elU3fri83PQ4MiUaDdX0bdiQ3BWfekpO4GJMKGzaVFaiFhWRhbGiglxKrbmPJIkE3M6dSTitKX2Dnx8lndm3j4QoYSm0xZwhhEJbWAqzskxX5oikPiJ7tkpVPaGZOOb4cRLimjenOGFrhUKABGtDQuHHH1P/vv569ffE+MFKJcM0bEjPa14e3VeTJjm6Ra6Di+iMGVfnwQepTp4Q8FJTabHfsKFhK1hRES3QmjShhay+69vatTRADxhgu0KtIqmJMr6grjl0iIQyY5bOgAASQKy1FIrrpxQI7r6bzi0CsoXm2tkshbbi3nvJjXTBAlroK92DrEGlIuH6n/+0zfnqAnsXwLaG/fsp2cf166QssZfVXizGlYt+ZYZBY2i1FIssKimVlZEyR8QTCqKjaSybMUMeY1godA1UKhoXf/wR2LpV3v/55+afa/9+UsKVlNB5VSpg5Ej5fWNCoY8PWQsPHqQEbhoN3Xum3KM18dNPlDjlrbfI+libm13v3iSYrlhBAk3DhjUn1DIVobC0laXQVOubvmAlSdXnhuho6v/duylesUkT3WyWLVrI1ilTEYK0IaW3Vgv85z8U2mBozBaeBjx+GEalktdUjz9umeLGU2GhkLELIl7u/Hk522a3bjQBGhJ4hHuE0NApBbXyckpCAxjOKGYpIjtVjh3rmx47RltjmVNVKpqArllZh9aQUOjrS32wZ49uzCJXf3E/xOLBVjFzdYlIgw+Yv9CyhvZUFg7jxsn7zpwxvkjVaslacO+9lMRCxBotWUJeDpV6NayHDiV39R9+oLIlAC/qXImgIOpXZQzYzp2yMsBUlOWZRCmMXr3kfTVlpO3ThyzoypALY540piIsZMJVVOnybIjBg0mgWbGCksDZSono7U1KSmuFwooKmsMtFQoNKZlVKlJs79tn2DX122/lMkSmItpnyFNKuQbRLwECsPu5Kbz+OsUG27l4gsvDQiFjF+66iwbR1FRKe63R0OTTsKFh10iRqlkE/Is00YDsgvXhh7Z1LQsKoklJmZ2yrklLo+tQ08TatSvFspi7+FBiSCgEKK321avAiy/S/y+/7DoxZ4zpiKyt+tlmnY2CAjlWa84c65N5mIO+APraa7TANFYb7uRJ3aQThw/TYk7ErOovSoOCyEKtFDpZKHQdhgyRX8+dSy7i6enmlVC4dInu74ceovtFJAkR7qk+PuSaaAwRp3zkiDxOW1PCQZKqJzGrzVLo50eujQJbepYEBFjvPpqTQ7/LVKFQOSfOmgWsWmX4uEGDSGBs0EC27H7+OWUy9/Iy36MhIIA8IQzlaxSxmoBhz6UbN0ggNBRywhAtWlAWYU59Yh4mLf/Onj2LtWvX4uuvv8ZZawqrMB5LQAAQHl6B1FRZsxkRQYvVggLdVPAaDbmP+flRfENAgFw7CiCNZtOmQM+etm2jSkXJIEStJntw8WLtNfI6diTB2Zpkv8aEwn79dBchDz1k+XcwzouYGEWqdmdFKH+eeIJcw00tBm0LvLyA5cvl//v0oa2xFPnHj9N2xw6Kz92yhayBYr+xOFhlmL4t3O4Y+5CYSPF/27dTQXThLi68PWrjyhX6zP+zd9/hUVVbG8DfSUIKkFACKfQOQSWAIGIBLhJaCGDvBQuKhQvWj2sFERTFgiiCqNiuXlABFVSaGEAUUDoBpQQTIIUkEEgnOd8fi51zZjKTTJKZTHt/z5Nn+szOnDnn7LXL2gEBki3bklpvrrJGue7d9dEz3bpJQ4YxYU11pafL+c74m7Rn7cwOHfRjSk2WCbLFVo4Be2ka8Morct3eYEB93926SS+ordXPLrpIRjF8+63+3rGx1Vvj1tJVV0lPoOXyJsag0NoooUOHKiamI3KEKoPCefPm4bHHHkNGRgbS09Px+OOPY77xzElkpy5dCvHnn/ociOhoPavb5s368x56SILAbt2kJaxrV2mRnzdPDp5bt8rrnDHXyJg2Xikpcc6wu4wMaTmu6uCuejBqM2dNtb5aZqrz85NhL6tXS8t1bU5w5L6aNZPKaG3nHzmbCsBuvtk1n2+sSLZoIQ1StiqpqanSWt+kiVTucnP1yl10tDQwWaP25wYN3GcdS6qaySQBkwqaunSRBjXjHEOjffukR0/58ks53k+ZYj0xi59f1aM0TCYJSAE5Lw0YID3ZNR1yqUbpqMbALl3s/02qJZ0cOcT7wgtlyY2arsX4++96773KEWCPVav0dRIrU6+e4+aiA3K+LSuTxmEjFRSGh1cMCktKZMQVl+4mZ6gyKPz222/x1VdfYfLkyZg8eTKWLFmCZcuW1UXZyMv07ZuPU6dkQjsgPYWdO8uBViV3OHJEH67Vvr1cqqGNH3wgw23y8vR15xxNpaU3uvpq4LbbHP9ZX3whlYARIyp/njFLZk1P/rZ6CgH5/o2T5sn7+PlJRt1du1xdksplZkql1FXzWo2fazLJUia2gsJjx/SlTiyzzapeRmv8/SUD7n//W6uikov5+UlPka2e5DvuMB8qvGsX0LevZA2tjWHDJBh99FE5D1Y2xDk1VXq3bAVZqrEzKkqCW1tDJ6257Tb5/xw5r//CC6VM1oZMFhXJkO6DB22/XtUj3n67eqMMmjZ1zVDMnj3lOGOcRw3ow0M7dqwYFK5cKUuR9O1bZ8UkH1JlUNiiRQuUGmbMl5aWonVVM5GJrOjXzzyiUXMo2rfXh+C8/74cJEeOlB5DoGKFy8/PeQfExo3Ng8IzZ2S46/Hjju0tLCuTVs0+ffTg15Z69YC5c+W6GppWXWfPyvdWl8PxyL3ExkrvheVQJXeSmSkNFM5YoN4egYGyztcnn8jt6OjKewrV0Ov27fUEHXfdVfVcyDZtzNfOJM/Upo2M+CgstP0cTZOho/v3yxDE2mrWDFi2TM6BPXvKb/b3360/9847gccft72YuXFpg8jI6gVGYWESFDoys6P6ftS8XKMDB6QX8KabrL924UJ9rmNtlhuqS82bSwKbJUskuFfS0uTYY61RaudOmZ9sTE5E5ChVBoUhISGIj4/H008/jWeeeQYJCQkIDQ3FzJkzMXPmzLooI3kJk0mfxG6ct5CQIK2ov/8u2dxuukkSMjRuLI8HBgKffSZz6j77TLKehYY6p4xhYeZBobHFcvDg2iV7UebNk4yFhw7pGQ+rop5nzDpXHR9+KIEoh6v5rp49ZehRUpKrS2JbZqaeBdhV7rhDn7fVsqW02lvu96Wlcr8KCk0m6WWZNUtGNvj712mRyUVUQ0Blyxht2iTLCwD6dAlHCQyUDNJqWSFL6ly2Zo31x9VcfnfJYtmunQzPtNb4aUwAZ5kM7swZ4L339NuelIDlmmtkOxmHGh8/rgeFOTnmI4ROnZKeXSaEI2eosj124MCBGDhwYPnt2NhYpxaIvNvs2TIMpFs3/b4xY+T+pUslcLHWmqqeb3ydM0REyAE6P9/6fKJ//qldxtNDh/S1rUpL7Z+P0aiR9J7UJDNqXSbOIfelDt3bt+vX3YmmScDqTq38bdrIsSAlxTwrY3q6HKuMvX2NGlW+8Dd5H/WbSEmxPcfr22+BdeukUaZXL8eXoV8/YM4cafi7+mr9fmMWT1tBX3KyBFDukgXXzw+44grJMP7EE+a9kMbkKydOmCe42bev7sroaGru45490lgMSE/hZZfpmV2N9ZDcXPcJ4sn7VNnWcP3111f6R1Qd7dtXDOzq15eeQ9Wa6coJ1CpIUz1yaiL+22/LZU2HbwISBN54o/l91cmQ1qxZzYJClTD43Xer/1ryHk2aSM/G3r2uLklFJSUyDy8rS0/T7w7UEC21hpui5vk4Mh0/eZ42beTYbC0oURX3devksrJ5prWhlm16912ZcqF6tVUQddFF0tBpzPCtbNkigYirhmtbc/nl0hBj2SBrDAot12Y0rv3oaRo2lIQzal5hcbEMR27cWG90UscbTZOpNu4SxJP3qTIoTExMxLXXXov+/fvjkksuQd++fXGJas4gchB18GvZsm4XrLakPlslD8jJkaFhffvKgdjaXIeqZGQAd98NvPNOxceqk867efPqB4VZWfpC2cxWRjEx7jl89MAB6dkICpL5xO4iMlJGBmzbZn6/qqAyKPRt9evLvHDLRgMAKCgwnw/vrIy60dHAyy/L9b/+Avbtk4njKqhSjSzJyXL+ePll4LvvJMBIT696XcK6pobkWk6VOHFC398sg8KkJD3oHjvWqcVzimHDpGEhP1+GwgIyRcYyKFy+XC6N8w+JHKnKoPDFF1/EtGnTkJiYiM2bN+O3337DZuP6AUQOoEYoh4S4dt5bq1bS8msMCsPC9IQ4R49W/z1//FHmTKrkFUbVmT/VvLkszFsdTz2lB5Jqjib5rrZtpSJ47pwMf/z7b+nBBiQb7hNPOGbebHWpSt78+e43V6ZPHxlya8i3huPHpZxcGJn69ZOs2calKc6dkx6fyy6T+YRvvOHceaZDhgAbN8pn7Noli1+qoFDNY0xOlnl3X30FzJgh54WCAseuM+gIKvHaX3+Z35+WJj1qYWF6o0xWltyfkSENumvW2E6q485UsJuRoQeFYWHS26ymsSxe3Li8gffhh11TTvJ+VZ5+o6KiEBMTg3r16sHf37/8j8iRVFrrnj1dW47AQDlAq+AvO1tPitOihfkQFntZG7Zz//1SAa/O3IDqDh/9/XfzhZWZZIYiIyXoy8yUIVc33yzJmwCZ1/vzzxVb4RVN05c2cTT1ma4cJWCLGs62dq1+3/HjMv/YnYbdkWuoc9c33+j3qca70FDpnb/ySueXIzhYEpLt3x8EQH6jwcGSNCkwUHq7V62SnsGSEn3IpauWf7ElNFQCQ8vlc1RPYVSUnJ/T0oDbbwdGjZIGm8hIafh0t0Yle6jGJWNQGBoq5+zWreW4/P33YWjQQJay4XrC5CxV7j5PPPEEHnjgASxcuBCffPJJ+R+RI4WHy0l18mRXl8Q8DfSpU/oafi1ayImouin9VSBXvz5w332yiPG991acX1iVZs3khFFUJLfPnpW1qmxV4o1rH3GXJUCvfKSlSUUDkGDHGOzZymS4aJEM0fr1V8eX68QJWaLG2jqarnbFFTJEz9gTdPw4h46SaNoUmDBB5ptnZMh9iYly2a9f3ZalZ0/g77+DUFIiC6K3bi1BUtu2MmKloEB6CVu00BOeuVtPISDDbnfv1tdXzMuTc19UFNCpk8yFHDVK/74BPUmLJ1KBuTEoVMfCq6+W0R0FBX54/32gSxfXlJF8Q5VB4Zw5c+Dn54czZ84gOzu7/I/I0dq0kTlFrtaihZ5iPDtbDwq7dJGTlOXiuZomc0psBYvHj8vJOjFRegg7dapZr506eatW6HXr5D1VApniYrn+yityYlm3Toa+bdump9gn36Z64g4flj9AhmlNnao/Z9Uq66/99lu5nDjRsWU6cwb43//cdxkHPz8ZBrhjh+z/mibHAHfs1STXuPRSuVRJnDZulPNZXf9GZNkZE/bskfnvKpO3KkeTJpLo7dFH9de4W08hoC9ir+bSqYbPqChpUFXnZECWsJoxo3ZZwV1NndszMvS1I1UymdGjZdmK++8/yYCQnK7KwS/Z2dn4xjgugsjLde0qy2MkJsqcQjV8VK0VePCgeZC1ZQvw2GPArbdW7OncvVtakO+6q/blUieOzEzpzVStqKrncNkySUsOSLmzsoDnnqv955L3iIqSCtXHH0vjQvfukuBA9RoOHiyNCcnJFSu06vcGSGDkqOHIGzbIpaoMuaMLLpDhdsnJ0qt59qzcRwTo8+AOH5YGhG3bgGuvrfty9OoF1Kun4amn5DeqEt2o8qmkMsZMqO4YFKpz7d9/S2+nWlapWTP5H1TDlbdMiQgKkqkk6emSVwHQA9/AQJknmZTkpLH7RAZV9hReeumlTCxDPmXsWBm6sWaNpPJWB2e1YKxqvVTU7mFcfBaQivO4cXL98strXy5jUGi8PHxYPuu33+QEHxysL++hWrCJAKlEPfqoPjz68cf1Fuk5c4AbbpDr1ha7VpUVwHoAt3ev9EzbWijbFjVP9/nnq/e6uqT2o++/B/79b7k+dKjrykPupX59OT4fOwakpsqoDWvr7TpbkybAzTfnlC+lpNbAu+EGSTo2ZYr+3HffBW65xT0Xeu/YUc61KtmMmpevkqWZTN4TECqRkdJTmJMj/3toqKtLRL6oyp7CJUuW4MMPP0RISAjq1asHTdNgMpmwZcuWuigfUZ0LCJD5Capy26qVfn9ERMX1k9QaVX//LZUBdZI9ckR/jjE1eU1ZBoXp6frnHDgg5erWTZ/Pcskl7jskj1xnxAj5rTZrJr/L776TSogK+lq1ksctnTkjzykokMqLZZIk9bv7v/8DlizReyeqcuiQDNlWCTvcUUSEDM1Tc3Mvvtg8SCaKjJRhjmp4f3UySzvSgAFnsXixBHxq3mvjxoDlstKXXOK+8/CCgqRHUAWFOTlyaRw26m0iIuSc3qyZ/J+emDCHPF+VQeFvtrIOEHmxfv30RYc7dtTvb99eAjCjw4flJFZUJEOG3nlHehVVYoqVKx0TnIWGSsCpKh3p6XIiyciQXsrjx6WnZsgQCWhff732n0neyTgvsEED88e6dLEeFObmypDSpCS9kmZkXMpi40b7gkJNk/fzhGx6cXF6Nl+VGp5IiYiQBg5XB4WNGpVh7VrPX+C8Y0f9OKTWC65Otm5PExEhoy1OntSnrBDVtSrbIvz9/fHjjz/i/fffh7+/PzIzM5HkjqsfEzmQyhrn52c+t6p3bwkC1fC5vDwZ2qKef+KEDC97802ZtwU4bs6GyWS+LEV6uswJa9xY5oTl50tFfNo0YPVqGUZKVF2dO0uipfx8/b7iYukhVPuCtWVW0tOltyQy0jyoLCqyvZTF1q3yWX37Oqz4TjN8uFyGhbmuwk/uKypKGuhcHRQCEjx5+vDKVq2kobOsTF8v2Jt7zyIi5P88cECf+0lU16rcxaZNm4bff/8dy5cvBwAEBwfjeXee/EHkAK1aydCbli3NM6KqCfD798ulml9orNSmpACLFzunXM2bS8Vj+XI95Xi3brK4NiALFQcGevcwG3KuTp2kBy85Wb/v9Gm5VEGhtQTUOTmytExkpF4xBoAHH5TEFsaeRGXnTqm8jh3roMI7UaNGkszp0089v8JNjhcZKQ0nyckytLh+fVeXyLO1agWcOyeNTTk53n9OU3NQMzKY2Zhcp8qgcPv27Zg2bRqCzteMGzdujJKSEqcXjMjVHn0UeOgh8/s6dZLLyZOllzA1VW737i3rD27apD+3TRvgvfccW6bISDlJvvii3O7RQwJBQCoiXDuNaksNlzYuvaKCvPbtpdFBzWc1On1aAidjbzYggR8gc18LCoAnnwT++UfuO3xYGl4sh7C6q1atpLxEltSIkL172ZPsCGo/S001Xy/YW/Xpo/eEevLyGuTZqgwKAwICUFZWBtP5ptGcnBz4eXMfPtF5gwbJ/DyjiAgZnllUJL11Kihs2VICxqAg4OabJSnN7NlyoHekFi0kmUHXrlI5HzRIz2w6YIBjP4t8U6tWkn131y79PhUERkVJK/ahQxVfp4LC5s3l+Zpm3ju4d6/MNVy3Dpg7V3/f6Gin/StEdUb9jg8fZlDoCCrB27FjvtFT6O8v6zMCbHgi17EZ3Z07dw4AcOutt+KRRx5BdnY25syZg1tuuQX33XdfnRWQyN2MHCkV4zfekKFCoaFSiVYefVQyMdqbfbE6WraUITUHDkg5TCYpy7vvAs884/jPI9/j5yc933/8od+XkSGXUVHS+LF/f8XhoKdPy7yftm1lPmJmpvncw/379TUJ1WvVPEQiT9e6tX5dZYqmmouMlEApNVWCQrUchTd74QVgzBjzdZCJ6pLNoPD68/mLx44di0mTJuHuu+9GWFgY3nrrLcTHx9fqQ3/44QfEx8ejW7du2L17t9lj8+fPR1xcHIYNG4YNqgZB5GYGDJCK7fr1FU9WJpPz1n4aOFC/bhwqesklTJFPjtOnj8yNzcqStLnZ2fK7btxYAsbsbOn1U8rKZMmKxo314ad//22+pucvv0gmXkCCwZISCRwZFJI3aNRIn0eoermo5vz95Rz3zz/m6wV7szZtgGefBerVc3VJyFfZDAo1QzNw586dceedd+Kuu+5Cly5dav2hXbp0wdtvv42+FinnDh48iBUrVmDFihVYuHAhpk6ditLS0lp/HpGj3XOPXObm1m2a7KZN9bkrnIxOzqKGPe/ZIy0NZ8/KvD8/P1m0vU0bYN48/fkqG29YGHDBBdJA8csv+tzBCy6QYc+AzIE9fFiCzrIy/o7Je6ih/AwKHaNVK1myRtN8IygkcjWb6xRmZ2fjo48+svnCcePG1fhDOxoXfjNYu3Yt4uPjERgYiNatW6Nt27bYtWsXevXqVePPInKGBg0kGFRD5urSm28CL78sPTZEztCpkwwVXbMmFA88IEGhGiJdvz4wYgSwYAFQWChLn6igsFEjuT1gAPDNN/JXv770cO/dK88ZNAjYvBlYtUpuM6kCeYvnn5cskoMHu7ok3qFlSzlWAAwKieqCzaCwrKwMeXl5dVkWpKenIzY2tvx2ZGQk0q2lubNQVFTEtRM9QGFhoVdtJz+/ligsrIdz584iKelk1S9woCeekDURT5yo04+1ytu2qzPln1/8zxO+r8sua4TPPmuMb789hOTkxigrC0BS0nEAQEBAfRQURODHH0+ga9ciHDgQhMLCaOTkpCMpqQCDBtXDt9+2hKYBgwblIji4AIWFkRg3Lht+fkUoLIwuTzZTWHgUSUlW1qsgp+E+6zy9ekkveHU56tjgTdvWZApDYaGs5H76dBqSkgpdXCLX8abtSjp32642g8LmzZvj4YcfrvEb33XXXTh5smJFedKkSRhimdLxPM3KQlYmOxaECgoKQkxMTPULSXUqKSnJq7ZTy5YyAb5TpxDExPhuZgFv267OVP/8pCNP+L4iI4HvvsvD+vUdERQkv/eYGBkr3bIl8NFHwPLlHfDBB0BWlvQQ9ujRDjExQEyMDB8NCADCwkKgaUC/fkDHji2Rnw+89JL+Ob17d3PRf+i7uM+6H0cdG7xp22ZmAkuWyPX4+PYes3SNM3jTdiWdM7ZrbYJMm0GhtQCtOhYtWlTt10RFRSFNTTyB9BxGqAlURG6mrEwuuTYgeaOmTYEBA84iMbEBmjfXE8gAMmT68cdleZa1a4HiYrnfOL+2aVP9usmkv75+feC774CEBMcv2UJE3uPSS4HOnYGLL/actUyJPJnNRDM1Cepqa/DgwVixYgWKi4uRkpKC5ORk9OjRo87LQWQP1ZEwuegAACAASURBVG7CoJC81YABZ3HuHHD8eMW110aOlGyjU6boy1eEh9v3vtHRwAcfAK+/7tjyEpH3CAwE/vtfaYAiIuezGRQ2duKiMKtXr8aAAQOwfft23H///bjnfCrHzp07Y8SIERg5ciTuvfdePPfcc/D393daOYhqY+pU4KqrAMM0WCKv0qFDMfr3l+uWa68FBACvvCLXv/0WCAqq3rIosbF6Cn8iImvsmEFERA5ic/ioM8XFxSEuLs7qYxMmTMCECRPquERE1dehg14pJvJWt90G/PqrZFW0dPHFQI8ewK5dQFERK3BERESeymZPIRER0SWXAD//LPN7rLn/frnkEilERESeyyU9hURE5DlCQ20/1q8fkJioJ14iIiIiz8OgkIiIaoVzA4mIiDwbh48SERERERH5MAaFREREREREPoxBIRERERERkQ9jUEhEREREROTDGBQSERERERH5MAaFREREREREPoxBIRERERERkQ9jUEhEREREROTDGBQSERERERH5MAaFREREREREPoxBIRERERERkQ9jUEhEREREROTDGBQSERERERH5MAaFREREREREPoxBIRERERERkQ9jUEhEREREROTDGBQSERERERH5MAaFREREREREPoxBIRERERERkQ9jUEhEREREROTDGBQSERERERH5MAaFREREREREPoxBIRERERERkQ9zSVD4yiuvYPjw4UhISMBDDz2E3Nzc8sfmz5+PuLg4DBs2DBs2bHBF8YiIiIiIiHyGS4LCyy+/HN9//z2+++47tGvXDvPnzwcAHDx4ECtWrMCKFSuwcOFCTJ06FaWlpa4oIhERERERkU9wSVB4xRVXICAgAADQs2dPpKWlAQDWrl2L+Ph4BAYGonXr1mjbti127drliiISERERERH5hABXF+Drr7/GiBEjAADp6emIjY0tfywyMhLp6elVvkdRURGSkpKcVkZyjMLCQm4nL8Ttar/8/HwA8Jjvi9vWO3G7uh9HHRu4bb0Tt6t3crft6rSg8K677sLJkycr3D9p0iQMGTIEADBv3jz4+/tj9OjRAABN0yo832QyVflZQUFBiImJqWWJydmSkpK4nbwQt6v96tevDwAe831x23onblf346hjA7etd+J29U7O2K61CTKdFhQuWrSo0seXLl2K9evXY9GiReWBX1RUVPlQUkB6DiMiIpxVRCIiIiIiIp/nkjmFiYmJeP/99zFv3jyEhISU3z948GCsWLECxcXFSElJQXJyMnr06OGKIhIREREREfkEl8wpfPHFF1FcXIxx48YBAGJjYzFt2jR07twZI0aMwMiRI+Hv74/nnnsO/v7+rigiERERERGRT3BJULh69Wqbj02YMAETJkyow9IQERERERH5LpcMHyUiIiIiIiL3wKCQiIiIiIjIhzEoJCIiIiIi8mEMComIiIiIiHwYg0IiIiIiIiIfxqCQiIiIiIjIhzEoJCIiIiIi8mEMComIiIiIiHwYg0IiIiIiIiIfxqCQiIiIiIjIhzEoJCIiIiIi8mEMComIiIiIiHwYg0IiIiIiIiIfxqCQiIiIiIjIhzEoJCIiIiIi8mEMComIiIiIiHyYSdM0zdWFqK0dO3YgKCjI1cUgIiIiIiJyiaKiIvTs2bNGr/WKoJCIiIiIiIhqhsNHiYiIiIiIfBiDQiIiIiIiIh/GoJCIiIiIiMiHMSgkIiIiIiLyYQwKiYiIiIiIfBiDQiIiIiIiIh/GoNCHnThxArfffjtGjBiB+Ph4fPzxxwCAU6dOYdy4cRg6dCjGjRuH06dPAwAOHTqEG2+8ERdeeCE++OADs/fKzc3FxIkTMXz4cIwYMQLbt2+3+plTpkxB//79MWrUKLP7X3nlFQwfPhwJCQl46KGHkJuba/X1tsp2+vRpPPTQQ0hISMB1112Hv/76q1bfjSfzxO1q63m7du3CmDFjMGbMGIwePRqrV6+u1Xfj6Ry1bQ8fPlz+vY4ZMwa9e/fGokWLrH5mYmIihg0bhri4OCxYsKD8/s8++wxxcXHo2rUrsrOzbZY5JSUF119/PYYOHYpJkyahuLi4/LGVK1di5MiRiI+Px2OPPVabr8ajeeJ2feyxxzBs2DCMGjUKU6ZMQUlJCQBA0zRMnz4dcXFxSEhIwN69e2v79Xgsd9qutraXJVv76xdffIGEhASMGTMGN998Mw4ePOiIr8hjeeK2tbVvL1y4sPzzR40ahZiYGJw6daq2X5FHcqft+p///AejR49GQkICJk6ciLy8PKuv37NnDxISEhAXF4fp06dDrTT45ptvlu+zd999N9LT06v+AjTyWenp6dqePXs0TdO0M2fOaEOHDtX+/vtv7ZVXXtHmz5+vaZqmzZ8/X5s1a5amaZp28uRJbefOndrrr7+uLVy40Oy9nnzySW3x4sWapmlaUVGRdvr0aaufuWXLFm3Pnj1afHy82f0bNmzQSkpKNE3TtFmzZpV/piVbZXv55Ze1t99+W9M0TTt48KB2xx13VO/L8CKeuF1tPS8/P7/8/vT0dO3SSy8tv+2LHLltlXPnzmmXXXaZlpqaavWxq666Svvnn3+0oqIiLSEhQfv77781TdO0vXv3aikpKdq//vUvLSsry2aZJ06cqH3//feapmnas88+q33++eeapmnakSNHtDFjxminTp0qL6uv8sTtun79eq2srEwrKyvTJk+eXL5d169fr91zzz1aWVmZtn37du26666r+Rfj4dxpu9raXpZs7a9nzpwpf86aNWu0u+++uyZfidfwxG1rz769du1a7fbbb6/el+FF3Gm7Gve5GTNmlH++pWuvvVb7888/tbKyMu2ee+7R1q9fX+H1H3/8sfbss89W+f+zp9CHRURE4IILLgAANGzYEB06dEB6ejrWrl2LsWPHAgDGjh2LNWvWAADCw8PRo0cPBAQEmL3P2bNnsXXrVlx33XUAgMDAQISFhVn9zL59+6JRo0YV7r/iiivK37dnz55IS0uz+npbZTt06BAuvfRSAEDHjh1x7NgxnDx50v4vw4t44na19byQkJDy+4uKimAymez/IryQo7at0ebNm9G6dWu0bNmywmO7du1C27Zt0bp1awQGBiI+Ph5r164FAHTv3h2tWrWqtLyapuG3337DsGHDAABXX311+esXL16MW2+9tfx3Ex4eXp2vwqt42nYFgIEDB8JkMsFkMqFHjx7lrdCqzCaTCT179kRubi4yMjKq94V4CXfarra2l1Fl+2vDhg3Ln1dQUMBjsYdtW8C+fXvFihUVRvz4Enfarmqf0zQNhYWFVt87IyMDZ8+eRa9evWAymTB27Nha7bMMCgkAkJqaiqSkJMTGxiIrKwsREREAZAepbAgRIMNNmjZtiilTpmDs2LF4+umnkZ+fX+OyfP311xgwYIDVx2yVrVu3buVDC3ft2oXjx4/bDEB8iads18qet3PnTsTHx2P06NGYOnVqpQdfX1KbbWtUWSUgPT0dUVFR5bcjIyPtG4JyXk5ODsLCwsq3WVRUVPnrk5OTceTIEdx000244YYbkJiYaPf7ejNP2K5GJSUlWL58Oa688kqr723c5r7MXbar5fYyqmx/BYDPP/8cQ4YMwauvvopnnnnG7jJ7O0/YtvYoKCjAhg0bMHTo0Bq93tu4w3adMmUKLr/8chw+fBi33357la+33GffeOMNDBw4EN999x3+/e9/V1lWBoWEvLw8TJw4Ef/5z3/MWhbsde7cOezbtw8333wzli1bhpCQELNx0dUxb948+Pv7Y/To0dV63fjx45Gbm4sxY8bg008/RUxMjM8HD564Xa09LzY2FitWrMBXX32F+fPno6ioqEZl8Ca13bZKcXEx1q1bh+HDh1t9XDs/N8Gotj0E6vWlpaU4evQoPv30U8yePRvPPPOMzTmnvsITt+vUqVPRp08f9OnTx+Hv7S3cabtabq+qGF9/6623Ys2aNXj88ccxb968apTce3nytrX0888/o3fv3mjcuHGNXu9N3GW7zpw5Exs2bEDHjh2xcuXKar9+8uTJ+OWXX5CQkIDPPvusyvIyKPRxJSUlmDhxIhISEspbh8LDw8uH+2RkZKBp06aVvkdUVBSioqIQGxsLABg+fDj27duHEydOlE+y/eKLL6osy9KlS7F+/Xq89tpr5T/qKVOmYMyYMbjvvvsqLVvDhg0xc+ZMLF++HLNmzUJOTo5dQ6C8ladtV1vPM+rYsSNCQkJ8OokQ4JhtqyQmJuKCCy5As2bNAKDCto2KijLrcU9PTy9vLbXlnnvuwZgxY/D000+jSZMmyM3Nxblz5wAAaWlp5a+PjIzEVVddhXr16qF169Zo3749kpOTq/VdeBNP2q7K3LlzkZ2djSlTppTfZ/nexm3ui9xpu1rbXvbur0bx8fHlw+d8mSdtW3usWLEC8fHxdj3Xm7nTdgUAf39/jBw5EqtWrUJpaWn569966y27j7ejRo3CqlWrqiyvb3el+DhN0/D000+jQ4cOGDduXPn9gwcPxrJlyzB+/HgsW7YMV111VaXv07x5c0RFReHw4cPo0KEDNm/ejI4dOyI6OhrLly+3qyyJiYl4//338dlnnyEkJKT8/pkzZ5o9z1bZcnNzERwcjMDAQCxZsgR9+vSpVeuOJ/PE7WrreSkpKYiOjkZAQACOHTuGI0eOWB2X7ysctW0Vy0qA5bY9d+4ckpOTkZKSgsjISKxYsQKzZ8+u9D0tM9j269cPP/30E+Lj47F06VIMHjwYADBkyBCsWLEC11xzDbKzs5GcnIzWrVvbVW5v44nbdcmSJdi4cSMWLVoEPz+9fXnw4MH47LPPEB8fj507dyI0NNRng0J32q62tpe9+2tycjLatWsHAFi/fj3atm1bvS/Dy3jitq3MmTNnsHXrVrz66qt2v8Ybuct21TQN//zzD9q2bQtN0/Dzzz+jQ4cO8Pf3r1D/atCgAXbs2IHY2FgsW7asfJipcZ9dt24dOnToUGV5TZq1vkfyCdu2bcOtt96KLl26lB9IHn30UfTo0QOTJk3CiRMnEB0djbfeeguNGzdGZmYmrr32Wpw9exZ+fn6oX78+Vq5ciYYNGyIpKQlPP/00SkpK0Lp1a8ycOdNq4pFHH30UW7ZsQU5ODsLDw/HII4/g+uuvR1xcHIqLi8uHLcTGxmLatGkVXp+Tk2O1bNu3b8dTTz0FPz8/dOrUCS+99JLVz/cFnrhdbT1v2bJleP/99xEQEAA/Pz889NBDGDJkiBO/PffmyG1bUFCAQYMGYc2aNQgNDbX5mb/88gtmzJiB0tJSXHvttZgwYQIA4JNPPsHChQtx8uRJNG3aFAMHDsRLL71U4fUpKSmYPHkyTp8+jZiYGLz22msIDAyEpml4+eWXsWHDBvj7++OBBx7w2VZqT9yu3bt3R4sWLdCgQQMAsg8//PDD0DQN06ZNw4YNGxASEoIZM2bgoosucsK35v7cabva2l6WbO2v06dPx+bNmxEQEICwsDA899xz6Ny5sxO+Nc/gidu2sn37m2++wYYNG/DGG284+qvyKO6yXcvKynDLLbcgLy8Pmqaha9eumDp1qtXOjt27d2PKlCkoLCzEgAED8Oyzz8JkMuGRRx7BkSNHYDKZ0LJlS0ydOhWRkZGV/v8MComIiIiIiHwY5xQSERERERH5MAaFREREREREPoxBIRERERERkQ9jUEhEREREROTDGBQSERERERH5MAaFREREREREPoxBIRERERERkQ9jUEhEREREROTDGBQSERERERH5MAaFREREREREPoxBIRERERERkQ9jUEhEREREROTDGBQSERERERH5MAaFREREREREPoxBIRERERERkQ8LcHUBHGHHjh0ICgpydTGoCkVFRdxOXojb1X4HDhwAAHTt2tXFJbEPt6134nZ1P446NnDbeiduV+/kjO1aVFSEnj171ui1Jk3TNIeWxgWSkpIQExPj6mJQFbidvBO3q/0GDRoEAFi/fr1Ly2EvblvvxO3qfhx1bOC29U7crt7JGdu1Nu/J4aNEREREREQ+jEEhERERERGRD2NQSERERERE5MO8ItEMERERERHVvZKSEqSmpqKwsNDVRfEoJSUlSEpKqtFrg4OD0apVK9SrV89h5WFQSERERERENZKamorQ0FC0a9cOJpPJ1cXxGAUFBQgJCan26zRNQ1ZWFlJTU9G+fXuHlYfDR4mIiIiIqEYKCwsRHh7OgLCOmEwmhIeHO7xnlkEhERERERHVGAPCuuWM75tBIRERERERkQ9jUEhERERERB5pxowZWLRoUfnte+65B08//XT57ZdffhnvvfceJk6cWOV7vffeezUqw2OPPYZhw4Zh1KhRmDJlCkpKSgDI/L/p06cjLi4OCQkJ2Lt3b/lrHnzwQfTp0wf333+/2Xtt3rwZV199NcaMGYObb74ZR48erVGZqotBIREREREReaRevXph+/btAICysjLk5OTg4MGD5Y9v374d/fv3x5w5c6p8r/nz51f780tLSzF69Gj8+OOP+O6771BUVIQlS5YAABITE5GcnIxVq1bhxRdfxAsvvFD+ujvvvBOzZs2q8H4vvPACXnvtNSxfvhyjRo3CvHnzql2mmmD2USIiIiIiqr0VK4Dlyx37nmPGAPHxNh/u3bs3Zs6cCQD4+++/0blzZ2RmZuL06dMICQnBoUOHEBYWhlGjRuH777/HN998g3Xr1qGgoAApKSkYMmQInnzySbz22msoLCzEmDFj0KlTJ8yePRvLly/Hp59+ipKSEsTGxuL555+Hv78/evXqhbvuugsbN27EU089hYEDB5aXp0ePHkhPTwcArF27FmPHjoXJZELPnj2Rm5uLjIwMREREoF+/fti1a5fV/+ns2bPllxEREY76JivFoJCIiIiIiDxSZGQkAgICcPz4cWzfvh09e/ZEeno6duzYgYYNG6Jr164V1vNLSkrCsmXLEBgYiOHDh+P222/H448/js8//xzLzwe1hw4dwg8//IAvvvgC9erVwwsvvIDvvvsOY8eORX5+Pjp37ox///vfZu9bUlKC5cuXlw9fTU9PR1RUVPnjUVFRSE9PrzTQe+mllzB+/HgEBQWhYcOGWLx4saO+qkoxKCQiIiIiotqLj6+0V89Z1BDS7du3Y9y4cUhPT8eff/6J0NBQ9OrVq8Lz+/fvj9DQUABAx44dcezYMURHR5s9Z/PmzdizZw+uu+46APrSGwDg7++PYcOGVXjfqVOnok+fPujTpw8AmVNoqarMoYsWLcKCBQsQGxuLhQsXYubMmXjppZfs+BZqh0EhERERERF5rN69e2P79u3466+/0LlzZ0RFReHDDz9Ew4YNce2111Z4fmBgYPl1f39/lJaWVniOpmm4+uqr8dhjj1V4LCgoCP7+/mb3zZ07F9nZ2Zg7d275fVFRUUhLSyu/nZaWVmkvYXZ2Nvbv34/Y2FgAwMiRI3HvvfdW8p87DhPNEBERERGRx+rduzd+/vlnNGrUCP7+/mjcuDHOnDmDHTt2oGfPnna/T0BAQHnm0P79++Onn35CVlYWAODUqVM4duyY1dctWbIEGzduxOuvvw4/Pz28Gjx4MJYtWwZN07Bjxw6EhoZWGhSGhYXhzJkzOHLkCABg06ZN6Nixo93lrw32FBIRERERkcfq0qULcnJyMGrUKLP78vLy0LRpU+Tn59v1PjfccANGjx6N7t27Y/bs2Zg0aRLuvvtulJWVoV69enjuuefQsmXLCq97/vnn0aJFC9x4440AgLi4ODz88MMYOHAgfvnlF8TFxSEkJAQzZswof824ceOQnJyM/Px8DBgwAC+99BKuvPJKTJ8+HRMnToTJZEKjRo3MXuNMJs3aYFcPk5SUhJiYGFcXg6rA7eSduF3tN2jQIADA+vXrXVoOe3HbeiduV/fjqGMDt613cvft6u7lc1cFBQUICQmp8eutfe+12RYcPkpEREREROTDGBQSERERERH5MAaFRERERERUY14wG82jOOP7ZlBIREREREQ1EhwcjKysLO8PDDUNsLJ0Rd0XQ0NWVhaCg4Md+r7MPkpERERERDXSqlUrpKamIjMz09VFca68PCA3F2jeHAiofQhVUlKCevXq1ei1wcHBaNWqVa3LYMSgkIiIiIiIaqRevXpo3769q4vhfJMmARs3Am++CVxxRa3fzt2ytnL4KBERERERUWXUovRuMITUGRgUEhERERERVUYNGWVQSEREREREPiU3Fzh+3NWlcD1/f7lkUEhERERERD5l0iRg9Gjg3DlXl8S1OHyUiIiIiIh80q5dcvnnn64th6uxp9B5pkyZgv79+2PUqFHl9506dQrjxo3D0KFDMW7cOJw+fdqFJSQiIiIi8mFt2sjlH38AxcXy54s4p9B5rrnmGixcuNDsvgULFqB///5YtWoV+vfvjwULFriodEREREREPq6wUC6PHwcuuwy45hrXlsdVVE+hlw6jdWlQ2LdvXzRq1MjsvrVr12Ls2LEAgLFjx2LNmjWuKBoRERERkW/TNCAnR65nZ8tlWprryuNKXh4Uut3i9VlZWYiIiAAAREREIFv9ACtRVFSEpKQkZxeNaqmwsJDbyQtxu9ovPz8fADzm++K29U7cru7HUccGblvv5MrtasrLQ9szZwAAxUePIvB8r2GyD/7Omp48ibDCQmQfOYJcB/z/7ra/ul1QWBNBQUGIiYlxdTGoCklJSdxOXojb1X7169cHAI/5vrxu26akAN99B0yYAJhMri6Ny3jddvUCjjo2cNt6J5ds18JCYNs2IDISCA4G6tVDSGmpXIfnnMccqkULIDgYLZs3R0sH/P/O2K61CTLdLvtoeHg4MjIyAAAZGRlo2rSpi0vkZX75RdIKn2+VJCLyGQ88AHz4IZCV5eqSEBG5t6++kqUoPvpIbrdpA5zvMXQ7hw8DZWXO/wxNk+tFRc79LBdxu6Bw8ODBWLZsGQBg2bJluOqqq1xcIi/z6qsyUfjXX11dEiIi50hLA15/veJiy+npcumrmfOIiOx18qRc7t8vl9HResIZd3LkCHDDDYBF4kqHSk2Vz/jiC7ntpecQlwaFjz76KG666SYcOXIEAwYMwJIlSzB+/Hhs2rQJQ4cOxaZNmzB+/HhXFtGzlZUB48cDiYn6fQUFcmlZWSIi8hY//QT897/AJ58AeXkVH/fSVl4iIodROT3++Ucuo6JcV5bKqPL9+GPt3mfdOj0AtpSZaX7bS88hLp1T+Prrr1u9/+OPP67jknipkydlodE//wS+/17uU+s+njrlunIRETnLtm3A22/L9a++kr9t28yf46UndCIih7EcZh8Z6ZpyVCUlRS5rkxE0IwN48kmgXj1g8+aKj7/4ovlt9hSSx1FDpQDgzjuB7dv127m5dV8eIiJne+65iveVlZkvNuyOQ6CIiNyJZfb/Bg1cU46qqJ5Ca6NC7JWcLJclJdbnJqrPUBgUksdZvly/npUFrF4tO3W7dnqPIRGRN2ncuOJ9aWmAcQQKewqJiCpn2VMYFGR+29mJXeylegpPn9bXU7SmsvIaE+jYM5LOS88hDArr0o4dMselLmRlAecT9pRLTARiY4GmTYFjx/QsSkRE3uL0aaBDB/OkA//8I8c8hT2FRES2lZZKgDV8ONCvH/D55xWDQncJjNLSJDMqYDuJ4p9/Av37A7/9Zv1x4+g5a4Flw4bA2LH6bfYUUq3dey8wZ07dfJZKJNOjB9C2rX7/xRcDgwYBf/1VsTuciMiTZWfLsPnRo4GePYFp0+T+/fvNR064S2WGiMgdnTolHQc9egDvvAN07QoEBpo/x12Oo2fPyvEeMJ82ZbRjhwS6tpLRGHsKrQWFBQVAkyb6bXf53x2MQaEr1EULw/m1HjFlCvD443J9+HDgppuASy6R23v3Or8cVHdOnwb27HF1KYhcR2WO695dLkeMkCHzc+eaP489hUTkSn/+CVx2WcV5e+5CBUmNGun31atn/hx3CYzOnpWArX5920M/VSeIrTW6jUGh5TYpKZGAMiREv489heQwZ886/zOMKYT79wfWrAGmT5fu//btgfBw4IcfnF8OqjtTpgB33cU1KMl3qaCwa1e5NJlkyLwlBoV1LztbKleuNmMG8NZbri4F+bo5cySwOHjQ1SWxTgV8xiGjakkzy+e4UnGxHFcaNpT55LaCQpVIRq29aFRaKstRqP/V8j3U/x0cbP65XohBYV1Zv16/7sygMDEROHRIWqE6dABCQ+V+Y/IFf38gPh7YupWVI29RVARs2SLXv/7atWUhcoW9e4F335Xrxix5I0fq1++8Uy7doTLjSzQNGDoUePppV5cE+OYb4NNPXV0K8nVHj8rl558Dhw+7tiyWysqkXID5kFGVwTkiQi4dfRxNT5cF4qvzfaj6dIMGtoNCTdODwhMnKj6+fbtsjylTpCHRsqdQ1ZONQaGXnkMYFDqTaknQNGDBAv1+Yze1UVmZjHe29bg9Hn0UuPFGGT/dp4/t5/XoIWu6HDpU888i96Gyb9Wvb770CJGvmDXL+v3DhgGTJwMffAA8+KDcx8awuqWGbK1b59pyGJOruUOvJfkuVc/btKniGniutncvsHKlXDf2FMbFAePHy/EUcHxg9L//SUB4ww3298SpoLCynsLsbHledLQsQm8Z9Kk5hN27y3tYzilU54uQEDmG9e9fsdfUSzAodJaVK4FRo+QHmpEhiV3+9S95TFXgLa1eDTzzjN5CU5mysorpdY3rcBUUSFIZW1q2lEtrrSbkedRw4SuvlCxaXIeSfI3lfBfFZAJuvVWGkfr7AwEBXtvK67bcZQkkY4NrZqbrykFktHu3q0tgzhjwGIPCgAAJClXCFUcfR40B3Y4d9r3mq6/ksnFj20Gh6pWNi5PLI0fMH1eNVvXry9SqDRvM1zxU9amGDYGwMKB167qZBuYCDAqdpVs3aY0YMgRYsULuu/12oHlz4JdfrL9m1y65tGcB48RZhAAAIABJREFUzmHDgCefNL/PMhDo3dv266Oj5ZJBoXc4eBDw8wMuv1xuG9PvE/kCY6NYZYKDGRTWNXdppEpN1a+npbmuHOTbVJ3QyN4gqC4Yg0LLjKOAHig6+jhqPE5s2mTfa1SP4iWXSFIca0GhGjqqRs9Zvreqc9evL1OrMjLMs1WrY0VUlFyGhkpQ6C7rNDoQg0Jn6dBBv/7uu9JC3bWr3G+rwq7GUdsTqOXkmM9TBPSdoXNnGRttTJ9rqWFD+WNQ6B127wbatZNtDzAoJN+jeqPeeKPy5wUFcfhoXTP2FNZ1RerXX6UymJamN7wCtlPXEznb889XvG/Dhrovhy3GDJ2WaxMa73N0UGgc3q2ShlWluBiIjJRezMaNpeyWQ0+Tk6UxMCZGbn/yiXkjovp/GzSQzpvGjc0zuVsLCsvKvHIIKYNCZ7rvPv1627ayI7Vsqa8haElV5Ddvtp02FzD/wRsrN2qc9KRJwLXXVl2+6Gi2lnqDdevkN9O/vz4s2NgiTuQLcnJkLsqVV1b+vKAg9hTWNeMcnrpOqjF/vlw+/TSwc6eehCg7W4aTsmGU6lJSUsX7IiPdI9nM0aNybHRVUOjvr1+3Nc3KUmGhXh6VUNGyt/DIEVnc3ri8hvH7zs+XHlH1+QMGyIg+9T2cOCHHDZW4UV3WJv+Hm2JQ6Ezjx0smyMsukwQwgPwwT52SVghjS4WmSarcyEjZ0SoL1oytrsaTrRqXrnqLqhIdbTtAJc+Qk6MPI77zThn+0LSp/BYqa1gg8ib5+XKCjoys+rnBwewprGvGCl5dn3PU3MGdO2Xe/hVXyFD706clKVtCQsXXfPiheaMukaO8/LJcGrMit22rry3tKvn50pkwfbr5/lqXw0fPndOvZ2TYl2ymqEgvT/PmcmlcdkLTgAMHZKSen5/eW2g8DuXlSd1JufhieV9Vv05L03sJAQaFVEMmk+zsc+YAl14q96lFle+6C1i6VH/umTOyA6j1tZKSJOGMsVXp1Cng1VdlQWYlK0u/npQEtGolQYE9oqLYSurpVq+Wy9Gj9e0eGCitXNOnu65cRHVJneDVXOnKMCis6OhR4LrrrK/h5QgpKXorfF0neLGcz3jLLdJjcPq07Yr4u+9KFmdXZihdtUqGshmH1JFn0zTptfrXv/SOAkDqba4OCtXQ6h9+AD77TL/fuAyDonrbHR0UWQaZ9iRzKS7Wg0K1VIaxUyUnR4K7Ll3k9ksvyaUxd8fZs+bLGKnrS5dK582JE+bnFgaF5DA9eshEVkACvLlz5brKHqmCxuefl7kxt9+uDytNTJSUvUZ//aVfT0mRINRe0dGyY3jhD9tnrFkj81Sfe06/r0cPuVy1ihUK8g2qccveoJDDR3WHD0sPQXKy3sjkaNnZekt9XQaFeXl6A8A118hc+wsukKDQuJ6rrUYCe4ewOcN//iMNvV44b8lnZWVJj1yfPuY9cM2bS/DiqgXRNU1f49WStazODRtKIKYakRxVh1T//223mb/v0qXAjBnWX2PsKVQjRYzzhdXyEs2a6WUHzAPOzEw9oDQ+5+OPZUWAkyf1XkiAQSE5UEAAMHWqpLUtLQUWLZL7N22SE6ZxSIGydq3sLMYWz5YtpXVJTU7WNDmBtWljf1mYgdSzrVoF/PmnnmZZeeYZaQ0HmEyBfIMKNIwndlsaNPDKk3mNzZ6tX3dGpbSoSCpgYWHSaLl5s+M/wxb1u3jpJQmy1Fx7P4uqj7WMhYDzek6rw12W86DaU1N8unY1DwpVMOOq39tPPwH79kleAuWNN4DHHrMeFJpMEiRlZgIbN0rPpyOW1SgqkulWffvK7ZMnJaHLSy8B33xjvZHbck5hYKB5vUftP2o+oQr4jD2FaWnmUw+MvYarV0vdOyxMv49BITmcarUAZBz14cMS6LVoAcycaf7cOXNkRzHOH1y6FOjUSYZNpaQADz0kLYqtW1e/DJYLda5bJ61GZWXsaXJXGzdKJQcAxo41f6x+ff3gPmoUe0XI+6lh9PYMnY+IYGOJkfEY7+jEY88+KxXG7GypjA0dKgtj19V8ZxUUGlv5AeCee8xv2woK3SEgc4cykGPs3i1B1gUXmCdVUb9PVw0h/fxz6VB44w1g1ixg4kRJ2HXzzbZfExEhx4tJk+T23r21L0dRkYzkUEHX/fdL/VexrKsC5sNHTSYJ7ozfo2VQWK+edM6onkJNq9hTaAwKAamjMyg0V+yqbm1vZQwKMzMlsFMBXVwcsGWLBGbGhezVApyAtHS2aCFB4dy58nygekGh+pFbzrl46imZaD9wIPDww64b0kAVaZr0DqoD8Z13VqzwAEDHjvp1VirI2508KSd9WwvYG0VGyj7BeYWiuFgqU4Djeyp++EHe/8QJqUh16iT3q3XDnE0FhcbzLSDr/H7/vWQkBcyDwlWr9OvuUOlzlzUeyX4HD1YcgZWfL0shBAXJccpkkr+rr9aTmKh6nKPY06ifmyvDlC++WIKlwYOBO+6o+nXt2knyJsVawGavEydkClVRkfT0qd48wHx+o7XGPPUaJSJCvn/1v1sGhSaTvL/qKSwpkT8V6AHW51EaH1flc0TvqJuxGRRqmoaVK1diwoQJuOyyyzB48GD069cPCQkJmD17NlJcOdbeG4wZo19fu1ZaNozZjfz8ZDHOrl0lKQ2gL3r/8MNy2ayZVGz+/lt/3UUX2V8GW60dLVrIZUEB8PvvwLJl9r8nOdf06ZLVFgBefFH/LViKiNArYPZM1ibyZCdPVqz422ItQ50vy82V3rxLL3VsT4Vlb2DDhkC3bnK9ripTKSlyLjWeW5WoKKB3b7mugkJN00dgAO4RkNnqxST39OWXwE03SVZbY5Cn1r0zNtz//rv83tq1k6yYjlyrcOlSKYOtffrwYan73XCD3LanQc3oiivMb9cmJkhIkDm/qakSNLdqpSdnNNq6teJ9xjmFgNSbDx+WEW+AHhRa9vSpfVsFh8beQWvnEuPrVadMXTVu1SGbQeEdd9yBgwcP4uGHH8aGDRuwceNG/P7771i0aBFiYmIwc+ZMfPvtt3VZVu8ybBjwxRdy/c035cBva7H5yy/Xr3fooAeJ6kesktSsWmXewlIV9SM39iRpmgzFuuUWOaCFhwO//Wb/e5LzaBqwfLl+e8QIvYXfmokT5dI4dp7IXbz7LjBuXO1HIrz7rjSYqTWqqqJajN2hF6iuHTwIDByIFo89plcWz56V80bz5tJib613ISNDhqJv22b/ZxlHtgDyGdHR0mDliKFmVUlOljJERVlPqw9UXNfMsgLtqqCwrMz1ZaCaMSZr2rxZ/mbNAl57Te4zTg/y89N7DGNipMfu119rXwY1Dy8tzXryqIwMCQZffFFvHAsIqN5nDBig/3/9++v10OqyTKQUFCT769y5eo/lFVcAPXuaJ4cCpG6jlnJT1Dq1Tz0lPYDZ2dLzZ1xywjiFQH1+SIj+uJ+fzGE03qc6S5QvvwQ++qh6/6sHsPkr+OCDDxBo5UAaHh6OkSNHYuTIkRxSWluWQz1tVWqM82Qeeki/bvyRR0fbvxSFonY+Y+UoJ0d6H1u0kB2je3cucO8uVBZaQLLTVsVali0iVyorkyFUeXn6CXX7dqBfv5q/54cfyqW9xym1X/hiULhrF5CXh8CsLJmrM326fA+hoUD79sB338maXqpHT9m6Vb7fBx6Q1O533y2t8U2ayOgUy+cDFVvRVaNns2bO7/06fFjvAenVy/bzQkPlPKfKo8r8yitSka+LgOzgQektysvTG3qtJcogz5CWJo3+hw/LKK5Vq8y3p60MyUOGSCCyeLHkkKgNY4bfzZuBW281f3z7drlUvWmtW+sjkKpD9S62aSNDSTWt8oZqayx7/4wBnkoI1aaNHLcXLJAEjenp0tizYoWcUy6+WH+N8fvdulWCQsu6cWSkTMMB9BENxvq0+swvvtBzNqiVARTL53sJm0HhX3/9hZycHFypou7zfv75Z0RGRqJ79+5Wg0aqhuBgCcpUcG0rKDTOGbvgAv26sbt74cKalaFZM/MDlhoHr1pFIiPNx42T66h1hL78Uh8aWhn1+2BPIbmLXbv0ZXiUPXtqFhRqGvDBB/pt4xCiyqhh877YWPLPP0BgIPIuvhgh69ZJpaegQL6Tf/1LejFWr64Y5B08qF//6y/g//7P/PHYWFliyVj5UhVPJTxcLsPCnBtsHTli/rswzgWy5OcnPccpKVLZVEFhz57OL6eyeLEEEAcOyOcCcl1hUOg5cnOlPtW1qySSWbnS/PFRo8wTzBhdcolcbtwoPXn2ZFK2Ra3b2r69BD/Fxea95ZZD5++7r3qjzCx16CDBVXUz4JeVAW+/LceGN96QIM6Y3Oaqq2Sk2m23AT//LPf98Qfw4INSB1LHJWPDT2ioDAv/80+Z+pSXZz0ozMyUz7cVFAK12wYeyubw0VmzZqFdu3YV7m/Xrh1eeeUVZ5bJtxi79m0FhcYfqzqxAuZBobF1pTrat5cTkmK5CHRUlBzoHB1Y7NsnmaXqeiFjT3b0qFRi2re37/nqIG+cqE3kSpZDCoGazy/bvRt47z25PniwPjyrKipI8MVheTt2AJ064XR8vFQU1XIUrVtLcHTxxRXnNWVlAZ9+av39TCZpWNy50/w5paWS5t64xFJdBYX33COfrVRV2W3RQp4/eDBw6JA8v2lTKWdd9CYbK+g5ORKk79wplfjwcAaFnmT/frns3FmGgypr18rIiKpG+Nx5p1wa15+uCTWq6OqrZT/fscP8cZWtWTFOUaoJtTD8O+9U73V//CGNOJMnS0/cnXeaB68xMVJ/iYjQh/2rJHsqIHz//YqB9oIFMgXql18kwLYWFJaW6utGAtaDwsBACXjVZ/oAm0FhTk4OWlvJZNm+fXtkG5dGoNoxBnbWJsNbMnbNW6bNrYkLL5SdS40HV72GqixqZze2XNbWqVOylt4ff1RvjoqvO35cDma2WhotNW8u23fvXvPlTIhcITcXeP11afyaNUt+n/36SbKFdevM51HZQw3/8fMDXnjB/hZqXw0Kz5yRXtkBA1DcuTOwZInc36CBtMgDUjk8fFi2iWIMsBYvluFo27bJ39atwI8/Skv9p58Czz0n3+sff0hD4hVX6OcQ1eoeFua8QGfv3orbtaqgUDXG5uXJ8L02beQ8Wxc9hefO6YEEIL3XY8bIdxkdLUGhM8ugaTKMeN686u9/VNH27XI86tFDXxMTkIDmoouqHlqp8kUYG+pr4s8/5XefkCBzBY37MyANEaqOFx2tB1w1deGF8lu1tdSPpln/fa1eLfP2Bg2q+jNUDgzjtLUBA2wPD+/WTQK/I0cq5utQnSjHjulBoXH+oNHixdJT6SNsBoWFlaTrruwxqgXLiaxG334rKbSNatPdr4wZIztsYqLcTk+XnUO9d/fuciCzlvWpKsXFFQ8EK1bI2HkVhBozp1Lljh+v/Ddiyc9P5v5oWsX02ER1bedOqXjfcIP0yvzwgwQjJSXAk0+aBx/22LZNWnF//7168zvUyd8ywYE3O3RIhocCeobq9u2lZf/TT/UkE6pyppKgAfrSHVdfLd+3tSyFajjpypWyTWfPlorYwIEy53PBAvOg8MwZ5wQhH39c8b6qzpPGyjugj5IxZih0lh9+kJ6MN96Q21lZegNekybyu3bmmo779skc3w8+kGkJVDt798pyUA0aSC/TjBn2zf9XQkNl/1AjtmpC04BNmyT5S2ioBKibN5s/5+RJaZRbvFi2f22ZTLKvW0s2k58PxMcDL79sfn9urjQoDRpkfQkIS8ZRctOmyXHGcr1Rox499OuWDekqKLz3Xkn0CDimPu0FbAaFl156KeYYF408b+7cubhEjX0mx0hIkMvK5sS0aFGxJ9ER450jIiR4ePNNGbudni47jGrRatzY+kGlKlu2yGTpSy4xD0hU9kw1ROCHH9hCaa8TJ6oXFAJMv0/uQ6UsVwlAAAkO4+Pl+tKl9q2rtWWLLMXy229Anz7VT2zg5yeBYV0toO5qxcXAjTfqty+8UL/er595D2vLltJbaKyUpqZKhUyt6WdNx47ScPjcc7INDx2SheqDgqTCp5Z+AKTSa5zL4yiaJg0PcXHSA6GGjFU113TAACm7qjiq82qTJhKgOfP8tG6dpN+3TO+vPj8kxLmNF5s2yf7Qpk31G2Woor//lqGjytChev3OXi1ayLHwf/+rWRl++00aF1Q+kCFDZDiqWhID0Jfw6dDBdtb76mrTRgI9Y0NKfr4kucnIkF544740Z478tlXvaFW6dJFspKNGSeb1V14xz7FhqVUrOR4BFeePd+igX1fHOnuzV3s5m0HhU089hYMHD2LYsGGYNGkSJk2ahGHDhuGvv/7ClClTnF6wxMREDBs2DHFxcViwYIHTP8+lnnuuZouWOirRj0pasmSJZM6ynJ/YtasMZzBW2NLSKl+sVCVFASTNsnL0qBwkExOlBS0zUwJHBoaVKy6W76qmQeGXX0rl+913HV82a44fl94BbldS9u2TE69xqFLjxsDUqZI44M8/q05rXlYmre9qmZyaZulzdmXbnfz4o1wGBwMTJlQ97aBtW9l/1b6bmioVrKqYTMDo0dLr27u37QWw1TAwR/fCHTsmleG+faWi++WX0jtqz2/EZJKeFUA/ZrZtK2ugOXLtRkt79sh3ZTKZD1/7z39knlVIiN5T6whlZVLXeOstOaf89ps0EnTr5pvZeB3p1Ck5R6vh0jXVurUMe3z11Zq9fssWqRvGxcnt4cPl8oUXpLHkvfek8d/Y8+YIqnHJeAz/6Sfz9QtVDomSEhlVMGqUNCjZw2SSZbZeeMH+hsDYWLm0SJiJgAA5FhrruraGj/oYm9lHGzZsiDlz5uDIkSM4eH5C57///W+0tzfJRS2UlpZi2rRp+OijjxAZGYnrrrsOgwcPRid7Mi56IrVOTU2MH2++qGZNvPmmJARITZW5Hpbfc6dO0uJzySXS0zd3rqRZDg6WTFnW/POPVD7y8mTO4iefoN22bfKa1q1lpzRObk5NrV7WKl+j0j23bVu91zVtKttPDf/98ENpER8/vua/OXu88IJU8jt31oetke8qK5NjxeDB1n93w4dLg8W110pP4vXXW0+oNHeuHCsAGY5U0wQJvhQUHjokvWUbNti3z194IfDf/0ovx7Jl8n1XZ3TQDTeY9wZbMgaF1W3kqozKkq0qgk2bVq9irZKpqYqiSrSn1jp0tKIiaVhVAXdMjPTg3HOPLOQNyPnSkUHhO+/oQ2x79pRtq4YM+2I2XkcpK5M6EVD7oLBnTz0BYVmZviyDvf75R35Taph3WJg0eGzeDBg7dBy57wF679u2bfpoBMvf7p49Uv/IyJBGCdUQ4yxt28pxz1rAd889MpT+wQfltjPrQx6k0l9bcXExWrRogbi4OMTFxdVJQAgAu3btQtu2bdG6dWsEBgYiPj4ea9eurZPP9jjjxwM33VS794iIkB3j0CHzCciKmsiracDjj+sHv8JCadGyZv9+OTm3bCk9RsahC+ok1LSpTHAHaj+x2ttt3SonB3smZBv5+Ukl4Lbb9DTz779fMV28o5WUyOUTT5gnUiDfdOSIVDqN60kZtWihD7tavFiCwhEjpIKTm6sPNVSjDqZPl2FRNT2RO3uuljuxnBJQlSFDZDTHqVMy3zAjw76eQns5q6dw5059vcWaUEGh6ilUQWFN5tPbQyXlUEGoySSfPWGC/pzgYMc2XqheY0Aq5dnZMoywYUMuXVQbS5dK8ixAn7NbU3366Neru56npslQUcuVA15/3bxhp3Nn6aVzpFatJBg0Zi9WQzPVvL2nnpIGwDvukLqJ8X91lsp6AI0ZYglAJT2Fn3/+ObZu3Qo/Pz/06tULt99+e50VKj09HVGGwCQyMhK7jMMRLRQVFSHJOESRqi0kMBCR51t1TpaW4qzx+9Q0hN55Jxr/73/wt9gOme+/j7yBA83uCzh2DK327UNO797wDwpC2KFDKG3aFH+/9x4a5uXhXFFReeXO5O+PtoWFyNm4EadruqyGDwg/cAD169VDyqFDNXuDYcOAYcMQdOAAop95BqeXLUOOg4ZLFBYWVtj/IouLEXL+91QwfTrS/+//7M+a6sXyzwcinnK8srZtayJ09WqEFxYiNTgY52y8n9/EiWj63/+ioVqPKiUFJePHo15qKs5FRiJ17ly0PHQIJbGxyGjb1nxYejVFFxVBO34caR6yHWoj+sABaMHBZv9rldv1+usRcfQo6p9PMZ9ZVoY8B31X9TIz0bKwEBm7dyO/sjUE7RS8ezfqpaai4R9/QGveHGk1zJTdKi0NAYWFSM3Olt+opqFdYSHw3ns43rEjiq0s0VWrcu/di6jCQqSdPYvCpCSrx4amubkIzc7G0Wp895Vt25alpah3/ric99VXaFBYiKyiIvjl5qLJ6dNI3r1bTzrkpUwFBXIuKimB5ogM7gCabNuGRoWFKOzeHWlqrcuaUr87AGnr1qHw/Lw5m9tV09Dw559R1KkT/AoKEH3kCE4OG2ZehwOAhx5CWNu2ODtgAMoaN5ZGCVvZQmsovGlTNNi0Cf/s2weYTIjYvRsBkZE4Hh6O8IEDEfrTT9CCg2EqLMTpMWOQ44QyVFfI5MkwnTuHfBedCxx1jnUUm3v/119/ja+//hqapuGaa66p06BQs5JswFRJK2dQUBBiGPHXTpMm5a05rS+/vGILSvfuMrRr9GhpcXr0UeCOO9AmP7/ic//4AwgORsi998o8haQk4LXXEKxp6GytZah9e4Tk56OF5fusXy+TkZ95xjxRgS8KCABat6797zwmBvjqK4RkZiLKQftMUlJSxXKVlZVnFAvZvx9NCwpkro9RYaF9Wce8SP3zWTI95XhlddtWh1oc/ehRIDoanW0NH1Uuvlh6p4YPB1auRMj8+fIbOX0aMdHR0rt3wQUIr+33d/69mnjIdqiVoiKgVy+z/9Wu7Tp3riRhAdBm4ECZW+4I4eFAcDDaNmnimJb6e++V/xEAxoyp+TZ96ilg6lR0HjBAn6//xBPA22+j44kT0nPtSGlpQHAw2vfsCXTtav3Y0K4dYDIhpmtXu4cRVrptAwJkeOL+/Qg5f55uNWSI5AAIDkZMmza1X57A3fXvr49kSUysXuZiawoLZbhncDBCPvsMTRyR6+H774HrrkP7Dz+UuXew2K6//SZTeW6/XYZIG9d6DQ5G6/h46z3mlSVmcYRLLwUSExHTvLn0ep+vHzaKiZGe1AcflHIdOoSQTp0Q5Q5DNl18Dqj1OdbGe9aUzaPMuHHj8PDDD+ORRx6p04AQAKKiopCWllZ+Oz09HRGOyLRJtkVFSQWgUSPzzExGLVrI0K6XX5Z5ah07ypBTS5mZ0mUfHi4HgO+/14cuWtOhgxxU9+0zv//xx2X42PjxcgK1h6bJ8AVvmR9RViYZ6jIzHZclrEcPGc7rrCQwGRkVlxqx3LZbtkjGvQcecE4ZyD3Mni1zBX/5RRqVqqoEBAbKXI+WLYH77jN/bMgQqYA5YkSBr8wpLCmRY0dN5sTVry+Vzw8/rP08KSMVdDhircI9e/SAEDBPQ19dw4YBv/5qnsDtzjtlrntNEsFVRZ2jKkuFr0ZzGP/HmtI0GS7at68eYF51lVSKVY+Ztw8hzc3VA0LAMb1Ua9bo1x2V/K9dO5nTm5FhXl7l7belznTHHbKGtGWyFlflZ1DlOHxYvuujR/X6pL+/PO7nJ8NX3SEgpApsBoUJCQl455138M477+Bay3V8nOyiiy5CcnIyUlJSUFxcjBUrVmDw4MF1WgafNHu2HGgqO0l16KDPCenQQYJCTTPPTJqZKa1E9u70HTvK6++4QzLXqbk+xnIYD7yVWb1asrZNm2bf893d77/Ld7Jvn55ivbY6dZIKscoE9v/tnXd8FHX+/1+7KSQQSIEUQkJJ6CABBKQpGggIMYB66E88EURRRBA99cSCBxZOxMNy6iGeYr8vqKAQLBSRIkWPEpBwAgFDCEkIaRCyaTu/P958MrO7s303297PxyOP2Z3Mzs7OZ2Y+n9fn3VzNqVPy65QUal/jhEQipvHXX91zDIznMZ50uPNO+/fRuzctldYLV4jCQIkpPH+enq2OJkoJDiah5coBXIsWNHh2NtulJMnp7IcNA+bMIU8WVzN5Mj2nLISwOIQtotCVYq2ykuIIo6Nlz5spU2gpynb4ew1q4/h2Z0VhXR0lVQMoY6wrEV5Vxlne6+vlHAwTJgCffkqJoZSlHTwVqiFE4dGjZDxobOREcz6GWVFYY8Msqi3bOEJwcDAWLlyIe++9FxMmTMD48ePRTVn7hXEPGo19ma5SUykxzXPP0ezjp5/S+vPnKXjdVpRWxK1bSQA2NlJHOGsWzWRu3Wp9PwUFQHa2vJ+vvrL9GLwVZTIGW1M3W0MMEA8etLzd++/TzHlODgWv24pISb1xI1mWR44k95a6OlpfW0vJbgRiPeNfKCcdVq6kJCD28vrr9FmRjQ9wTX3WQLEUihqx7sie6Qxt2jhvKRSTT+npZDmZMcM91gchnO65x7UeKGJfluLaXJmUZ9cuWg4aBLz4Ij3fhfAQotDfn8XGbnXOFIkH6DwKRMZYVyEmgcvKDNf/+CMJwyVLaPK7SxcSgXPm0PjN1Qlk7CEqip7Pb71FCQnj4y17iTFeh1kFcP/99+OVV17B/v37UatwXSgsLMTatWtx33334UeREMANjBo1Ct9//z02b96M2cpsXIz3MGYMLa/4vOPNN6mjP3OG3L9sxThe8OuvgalTaSY4JoY6rpwcyxlKz5yhGd1du+RsqZ9/blsxbG9GdAiPP04ZRF2BGFRbKka9dSu5/c2bR4OhqVNtz4R24gTNfossfn36AA0NcqbZ//7XcHvjTo/xD8TkwNtvy/ekvURH02e1WroHBg82LZnjCCwKPUubNvZnVjTmp59o+fjjzh+PJcLDKVYKoMnBaGoeAAAgAElEQVSxvXuBDz5w3v3+0iXat6XELqKgtitcbQ8fJgHasyeFdihdbYXbo7+LwqNHDc/3pk3O/eaff3b+mMxhThT+3/9RWa8r8b5NaDQ0/hEF2z2FskTae++xm6iPYVYUfvjhhxg4cCA++ugjZGRkYNCgQRgyZAjmzZuHs2fP4oUXXsCECROa81gZbyMxUU5VfvPNNPCfOZOsh8nJtu+nXTtKKvPSSzTgO3RIjlXs35/+AHIvNTdTq7Q8de9OD8xTp5zKUOgViOOfMsV18QrKeANzhZk3bDBdpwxmF/z8M1pv3kxtD5AIP3SIBh6iMxg5kgb1wmV0506amX75ZXp/4YJjv4PxbkQWPlfFt9x+O00sOJsYAqB96HTui6v1Fv74g5beJgqTkgyLWjtCYSGJGzH55E7EQPvIEbLIvPWWbHlzlMpK69ZzV1oKjx4lrxs1byDRt7gidtEbqaqi2LvcXCrrtHUruab/8gslKnKEX38l186ICODhh116uADURWF9PV2Do0fL1l0lISH21zV0Nc88Q8kIt2+nhF6MT2F2ikqj0WD06NEYPXp0cx4P42s8+ywN9qdPp6QEYiBoT7FjgB6sY8dSnM8LL9C61avlmLTnn6fvWr2aLFdKDh+m+kt33klCNSODZqG3b6eOQMQl+SIbN1KH7coHfWgo8J//UH3LZ56hrGBiRlqgJhYPHwauvdZw3bx5aKvTUczXtGnU6Z44ATz5pOH33XUXuRfX1dF+0tLkwdzddwNffGFaW4nxbXbtovvRG0vNiKy3Op1rRKY3otcD69cD11zjugklV5GaStdHfb1cZNteyspcl3zLGrGxNNH5xhvyuueesy2swRyFhdYLiAtR6KylsL6ekn/dcYf6/8X94K+i8PHHZQ+V226j8xofT0L56FGazBSTmDt2kOCyNoZZu5aWK1fKNVZdiZoozM+n0BpXeEu4i759yTuE8Uk8PKXA+DxXX00zbcHBVHT3qquA77+nB4MjTJ5MguXbb+WsVRoNpQO/+mrD4ruC1atpYHfPPWRNiIkhgdGypX2xcM5y6ZJr3VWFW4s7YgRSU6mN9u8nN+Avv6T1R48Cc+fK4l6JpUQLYtZfxCkau7b060fWxNxcsl507mw4S/7uu47+EsZbycuj54E3ug8JIeivLqSFhZSEorSUnqneRkoKDW6dsRaWl7su+ZY1NBpKZiNITSXrkzMJYAoKrIdZiARLzloKT54kYWgu9b0/u48ePWoYsiDcZp98Uragi0nQwkJKVPfII9b3e+gQTUC7K99FeDiJU6UoFL8jEErpMB6BRSHjOiZMoFiLtm2d20/XruouQf36kaAwdvk6eZL+p8xQqNXSuv37nTsWWykrI7eU++5zPlZGIPbjjkBtjUZ23wTklOv//Cewe7d6FrrcXNNzL2aYGxtpuXcvdbTGyUA6daLl4cNkDTYWhe7KhMp4BkmiNvVGKyHgPaJQkuR7xxXs2UMTMhMnkiDs0ME7s/+JpFlqJY2sUVtLE4E5OaYeDu5E6XEycyYtHc1eWVdHQkSEX5ijZUvqy5wVhSIMwZoo9AVLoSQBixaZ9u2XL1NyE+OJ2SNHDN+L/rRtW9ktuKCAlu+/T8vaWssTvDodlclyVfI3NTQaOkZl33joEPWvoj9lGBfDopDxHaKjaQCljCvU68mqpVZbsVcv+l9zxA098wwtDx4ky5tI8PDzz8BDD1lOkmOMOF4hCt3lIhUfT4H2sbFyXJ9SDF5/veH21dU00BTodPL2paU08Ni1S91KLAZvhw7RslMnQ1GYm+v/6dADiYoKskx4a31ZMZnh6bIU33xD7p3CUu8sr74q/6bBgylpl6VEJp6ic2cSO/Y8FwXr15PLO+B4AiNHSE8nF9Jp0+TJjiefdKx/OXuWltYshRoNTXY66z6am0vPW3Pf50vZR0tL6RqYNctw/fvvU1kIZaZiQC598tprwF/+YuhKLdx3RRZSkbwIsCz4RRItd9cD7NzZ8B65eLH5rONMQGKTKDx27Bg+/fRTfPbZZzhmXOeFYZoLIY6UdXsKCqgjU5uxa9+eRKS5ZCquoqTEtLjxsmW0XLSIZu/37rVtX3l5FMuwZ48sCt05Gx4dTW65xcVk7Tx8GMjKogxny5YB69bRdjfeSEvljLXSInryJMViAOqB+23a0ABHKQqVnbNOR4Jyxw7KNjttmjxwYnwPcc95qyj0FkuhqL+6ZIljAklJRQUl15o4kZI7OZpAozkIDSUrmSOWQvGsjYkBJk1y7XFZomVLKnM0bx4lMwOozUQCLXsQIsSapRCgZ6ezlsKcHJokNefK7UuWQqXL8VNPyaJc9C3//rehUK+qIlfMkSNNYyrj4+mcFBbSuKK8HBB1uUV/psa339Jki0iC5y66dqV7WiRyu3jRsdI+DGMjVkXhO++8g7/85S8oKSlBcXExHnvsMaxYsaI5jo1hDBEzZMKqVV8vi68ePUy3F7OiztYissYPP9By5kwSczNmUIdSVCQfq60zvSLr5y+/UGIAwL7yHo6QkkKWze++I5eZ226TRXZSEmVZE0WhxeCkoICS+ACoHjqUROXHH5OVUC0IXqulwU1ZGc1Kx8XJA5QRI6htt2wBPvmE1h09Sln+fGHmmjFFzLJ7q/toeDgtPS0KlRMfwtvAUUTMb1YWWUWuvtq5/bmbnj1pEsreOOyzZ4Hhw2lg3twJdMQzKzycMmaHhBhal2xFxInZUs/XWUthXh4l/xo+3Pw2zloKb7uNauY1B6I+JUB9791307oDB6gvO3kS+Ne/gOXLqf+1JKRCQshTprBQHieMHEnn/Er/ZsKmTdTXDRzo/kmvbt1IEL73HtquWEH3iytrZTKMEVZF4TfffIMvvvgCjzzyCB555BGsWbMG64T1gGGaEzHAFK6Z27aRe+aYMfLMrRKRDlls7y5ee42Wd91Fs4fp6TRTuXq1vI2tM71igBQWRrF9HTu6v+MRWdbee48sh2oCW3SqFy9SjMPkyeSKA6BGuHDV1NBvN4eINe3YUc6muns3dd79+xu6kMbEkPDcvdvJH8d4BBEH462WQiEKPe0+qnTHdqZeZ2EhWfWDgnwn23L//nSd2BtPfO4cTZQFBbnnuGwlIoK8GhypVSe8XWzxAnHGUihJNHEaFmY5YZmzlsK8PHKFbg5yc0m0iZJoubkkDLVa4O9/p3Xvv0/ZrkWMf0SE+f116EDXlPKZlZqqbrnPyQEWLKDXzVEkXiSxee89Kv0EAL/95v7vZQIWq6IwMTERjYpA+MbGRiTbU4OOYVxFUhKJLuFyJPz6Fy1S315kFnPEvcdWjh6lZXKy3PH06EEzyh99JG937pxtmepEpyxcUo3j+txBnz6UlKeqiuKb1MpfiNToRUUmRe91ykHoyJHmv0dkfVMWTRZ1lXr0ILegY8fIVXXdOlrPHaBvUlxM7eds0il3IdxHPRnHqtORKH3wQbLuVVU5Fp+m1wNTp1IJnsRE9fpl3oiI51K69zc0WHb3Lyuj8+QtY5ARIyhuXfRFtlJRQc8+MTlhichIx0XhwYPUjwwZYlmABgeTMHTECmXpM5WVlBF861b6Dc66SAPU5/buTZbJLVtoIjIykspipaTQ+gcfpH4tP5/uC0tx+e3bk/VZXHexsSQKT540tWIL753PPpNFqTtRSyhjrYwJwziBVVEYHh6OzMxMPP3003jmmWeQlZWF1q1bY8mSJViyZElzHCPDEMHBhoHXhYVkUTI3CAoNpU533TrXlopQMn8+Le+6S16n1VJdJHHMPXqQO+moUYbxkGoId7b//pcGe+6OWQBIwD7wAL02rkMoEJldX3mFsr49+igNNjZuRENcHP3OuDigSxfz3zNtGv0ZJwgA5BnRxkYSjS1b0sBPrTQG4/2UlJBrnKcLKZvDE5bCsjLD55DShTAtjVz3iors3++BA/LAfNw454+zuRAZppWWwjfeoMG2OREkBuXuKgNgL8IzQlhxbKWigkSaLeVanHEfFROiyrqx5nDUIqm8Zo0F/eHDJK6eeIKsdrfdZr+AVlJXR/sTWVQjIynp0Pr1JAQBun7uuYeya4uxgaXJysREugbFRFZUFInL6mpTK7Zoh+aqqRsSYtqnvvVW83w3E5BYTUs2atQojBo1qul9WlqaWw+IYSySkiKnmD5+3PrDOTOTCqPrdLbNytpLUhIN7owHY7fdRh1RXR25soj4hK1b5UB2NYQoFB1ncxWpHTIEWLPGfKrrVq3k14sXU91IjYaE4IUL9Lt0OsuDnI4dKUmDGsqyGyKesW1b15X3CBSqqw3bylOUlHhvPCHQ/DGFP/xASTGWLKHaZoAcb9y2rSwWL1wwtQSsWUPWkWefpWdNZKRhwfctW2jwu3Kle8rXuAs1USgyRx4+TFY4Y0TdWbVwAU8QF0eCftMmEiK2kp9v+/3Rpg3d1w0N9meSPXSI+kxb3LjbtJEzddqDshbwtm3U9wlOnJBfCw+fY8ccz9qZm0sTh336WN82IQH48UfyNrFUNzkxkSZgjx8nbx+t1rBkivLcVVaSK25zxrK+/Tbd70LYeouVnPFLrD5hpkyZ0hzHwTC20bMnDbC2bqXOZfp069sDcgYyV1NZSTGNagNxMbi76SayrhUVGXagahhbLpoz/bQlK59S7Km5zbRsKbvkOUJcHFkQv/hCHvBFRRkmFWDMU1lJsS779tH94cm05ZJE7tLeMnBXQ5SkaC5R+MEHtMzNVReFwm1UzZNg2TIaCCcn0wAxPV0uyQBQcqvBg30nllAQHU1CRPlMFJadQ4fMi8K4OMOatJ5mzBgqBXLmjG0D9vPnaWJz6lTb9i9c96uq7L+vc3MtW8mMv8cRS+GRI/TsFyJMKQqFZVeJMy6kwvJ51VW2bR8aar1siej3du+W+2xR4iovDxg2TN62srL5r70rkyf5K1eih1rpLYZxIVZ9e7Zv345bb70Vw4YNw5AhQzB48GAMEYkpGKa5GTOGZvKeeIIGUtbciMQD3Nk6T2pIEgk9EbtojiFDKKtor17Wk94o4w7Dw+XBqzcwfLh6PUhXMWsWCRqR1CY0lEQhl6awzurVcqp+c1nzmovly2mA7O6suc6g1dJAtjky+TU0yJMbH31EVqWFC+XU+jEx6uV2AHrGiZj+t9+m5datspAqLCSr09Ch7v0N7kCjocG9yJpaVSUXET940HR7vZ4G7s3hUm8PIqvnL7/Ytv3ixXT9TZ5s2/ZCCNqbiKihgT4jEq5Zw1FRePgwWe66dTPN9H38uGHZjXbtHBeFJSXAP/9Jr1056dWnD01ASpIswKOi6DuMS6ZUVHhsQkIfFeXd3heMX2BVFD7//PNYvHgxtm/fjt27d2PPnj3YzRkBGU+RmEizsgJrbijuFIUVFZQYxpooFHToQJ2MuWQSe/bItZYAz6fLN+aNNwwzqrobMWvrSHa/QOO332Qx7YpkDs7w2Wee/X5biY52LuNnbS1ZRqwlkNq1S64zBpBFd+NG2VVSKQqNj0cIJkFsLE2WrF9P7/fsoaUvikKAXC/z8shtUVnQ/cgR0/II587RM9fbJqU7diS3QzWrmDFlZSRs77nHdhdK4b5ob71d4XpvKcmKknbtLBdsV6O2liYo+val53VRkTyJUVcH/PEHcMMN8vb9+tGklb0x/pcvUygIYN07yF60WtmrQVm6QpS3UFJczMKM8WusisKEhAT06tULISEhCAoKavpjGI9xzTXkEtK9u2WXR0DOuGYtwYslqqqA55+n5C9KhNXP1pnYsWOpUxF1DY15801aPvEEDfy8bfDT3IiENMLNjlGnspJqSWZk0ADQkYLgrkRYk2+/3bPHYY2YGOdEYXY2JZR65RXL261eTQPJ7dsNPRuOHqUkVMHB5BEQHm76nBKTRP/4By27diXL1ObNNLn03/+SaDAXC+ztCPf+kydlq+2QISQojK1O4r23WaA1GhJ4f/xhfVuRlMUe12oRe2mvKBTXkq1WtY4d6Vlij7Xwf/8jEdi3L13LjY2ylffkSXovksIA1HefPWs+gVhhofr3b9woC8k5c2w/PlsRzyxlGEj37iT06+vpvSTRsXP2T8aPsRpT+Pjjj+OBBx7AkCFDEKoIrp02bZpbD4xhzBIaSkkVbEHM6jmS1U+waxfw9dcUn6G0gogaY6LTtsb119MAbscOKrugRK+noPwZMygm4+abHUtP708EB9Pstb2DoUDj448pyc/NN5MroacthZcvU9ypt8+ox8Q455osPrthAw1khXCTJOCTT4DRo8mL4NAhYNIkclf96CPaViSm+utf5f1FR5uKQpHo4rrrKI4wNZWswtu2UUz1iRM0eLUli6U3ImLw8vPlkj5COBcWGiYSE5Nw3jgo79qVrgNr4QSiH7Ln3hAF7h0VhbbUQgTktigoUI9PPXYM+PJLap8//YksbCJJUGIiiXWNhuLnr74aeOwx+t+gQXKCMSEQ8/MNJ3SPHqW6t+fP00TBJ58Yfrdwl37iCfdc6+K3K/fdrx/198eP0/morqZnm62TwAzjg1i1FL7xxhvQarW4ePEiysrKmv4Yxido1YoGG+ZEoSQBL71ErpHmyM2l5enThm5gYkbT1hgDrZY6VLVBe3ExzaqKWfCQEN+pN+ZO4uLsL27tj9TV0UBJrYTCL7+Q5bxXL5rxzstzXwkWa+j13p95VOCspVDpard9O1kzAIoffP11KgNw/jwJdmGJCAmhxDKffEJu8MqanWqisKBAtgKmp9NrEcM2bRqJxh49HP8NniYxkZ6LBQWypVD8HuO4QnG+bcmk2dzceitd+8buvsbYO5EI0DUTE2P/c9BeASqOSRyjMZ9+CqxdS5MT8+fTM0a4qEZFyWWEfv9dLvEwciQduyhHJASzsZvqsmXy7zt2jMpJKJ9hR46QMFMmsXElwnJr7OoKyNZ6e/t7hvFBrFoKy8rK8NVXXzXHsTCMe0hIMB8rceQIIK7vGTMMYwoEorOqqyNr348/Ukct4hRFcLot9OhBlse8PArAF9Z3ZTwNIxMbKyef8BSXLtGAx1zNvcuXncu8agtvv01Cok0bYOJEw/+dO0fXJUCWpMuXaUDoiRnt0lIaHPuKKKyooON1pJ5iYSGJ8YwMGigvXEjtIAaRR4+SFRcwLZ3Ts6dp+Qg1y2VRkakbeVQUJcf47Td6r6yR6msEBZElrLRUtmh16ULndcMGufYcQJMNMTGG5Ti8hW7d6BqyZqXX6WhpbwKxuDj74/2KiuSyQbagViJEIEmUUEbw8890PEIUCqHUrRuJOrHtvfca7icqitpPmXBNkkzjMdesAW65hfa3fz8JTXeWWxkwAPjmG0MrdFwcnRMxKexIf88wPobVnnDo0KGcWIbxbRISzFsKlTO7kyapb1NZKdcL1Omo8xDrtVrZ7ckWBg2i5W23AS+8IK9nUahOXJxn3Uerq2mgb85d+aOPyLXP3Rk/RbIdpaUaIEFTUSEnkxBuUMbxWM2FuM+80ZpjTEyMfP7spb6e2rx7d3KlEzXqjhwxTBb1n//Q0pZi14MGkagQmUobG0ksqQnsV18la2R2tn3PH2+kXTsSIsJS2KoVWWxKSgytViUl9lnYmpPQUDo2a2EKIj7N3jp3cXH2h0AUFdG5tVVEx8RQf6b2vP3gA5qc+9vfgH/9i9bl51Mf2LKl/Hu6d6e+bNs2WmdsxdZqyeKnHFOWl8tJ1UQGaoC20etlLx5zNW5dhZpbcmqqLPRFDUcWhYwfY1UUrlmzBjNmzMCAAQO4JAXjm1gSheXl1FG1aEHuIWodYlUVWV2++ooGaF9+SbOb5eXUQdgT4zB4sJw9VekedfYsHYcvWFiak/h46ozdkT3WFnbsoOX27er/37CBlrt2ue8Y6upkoWB8HioraeAkkkmI6+fsWRqANjQ0ryvpvn10PyiTS3gr4pw5koTq228p8+KgQXTf/r//R+tPnKD7undvw0LjtiT7EPXU8vNpefYsta3aRFG7dlTHzx+eF7GxJAqFtTAoSC42LqyhAG3jzb9X/A6BXi9bBgV1dXR/2Jusr0cPCl9Qcx83hy3lkpQEBdH2olSKoLERePddmhybMEHOmnr6NG2rnAC69lpabtxIrqNqgjQjg+4TkWxGeIK89hqJwpgYmtzKyQEeeogmWubP90zitZQUevbq9bL7KItCxo+xKgr37NmD3377Db/++iuXpGB8k/h4GjyrlXioqKBO6D//ocHd11+bblNVRR1Bx47AlCnkyjJ4MKWUV8YE2YJGA4waRQVxlanCCwpIeHJmX0PEQMCdossSwiqsZunR62WXrmPH3HcMyhTuxqJQ1CYU15IYoC1eTNfY0KEUM9tcHD1K7n/eatFRIo7RkSRUYvJo1ChairISmzfTvTx2LPDdd+QC9+67tk0cCUuF8BoQ15Q73ea8ASGmlJkde/SgZ6FSFBYXe/d1ZSwKFy4kLwJl9uT6erKg2ZsspU8fet5Yes5UVdH9J3DEhdxcGYaGBhJ5Wi39zrg4cpnesQMYOFDeVplV9ZZb1L9DuLqLcaSal0y/fmRtFM83W2s6uprUVJr8UWZFVQsxYRg/waooDAoKwnfffYeVK1ciKCgI58+fR67wsWYYX8BccDtAVoKoKJqZ7NxZjh9QUlkpx0yIJA8Ade4iw5q9tGxpWN+ssJBdR9Xo2ZNmm22pAeYOhGuh2gz92bNyG5444fh3nD9Ps+TGrqHK7xEoRWFFBfD00/RaiMHwcNOZ7G3bHD82e8nP953yCCL7oSPZWnU6sgQqYxEnTJDd0a+9lp4rTz1lOGi2RGQkPRdEvJUQq8Il2F+JjaXrOj9fFoUtWlA82ZEj9L6ujrbxZrfkpCSynAmX1+++IyGn7FNqa+13HQVIFALy+VDj8ceBadPQecoUcsG011Iovicvz9ClWvRxom00GqoVKNxNjQVbRgYJJ3OWvYQEmmD9/nt6LyyFyv5P+dm1az3nIi1Ebk4OWwqZgMCqKFy8eDH27t2Lr69YUMLCwvDcc8+5/cAYxmWIjlHNIlBRISc46NqVrIBKd7uGBhr4i46ge3fZOti/v+Pp0Vu1MhQaBQUsCtXQamkAYa6ulbsRcSRqcWcijnDwYBrIO+qmuXQpJZHZv19eJ0nAP/8JrFsnT2akpBgmaPjTn+TXykLY//ynoTBrrmx5ej0JWF8RMZGRNLB1RBTW1ppmB777brIWjhjhmDDWaMiyI+JBL12i69/epCS+hii5cO6coZtt375kKdTr5XNir8hpTjIyyBKYk2P4bFdeX/X1jiXKiY6mvsaSKFTW0X3qKRLSIhbeVkaMoGfPmDH0vqxMLgehdAm/7TYSvT/8YFq+4sUXSfBZSt40YQL9lsuX6ZkRF2colsePpyQ1993n2edJjx503v/1L5qUCA3lrOCMX2NVFB44cACLFy9Giys3QlRUFOpFsDTD+AIdO1IH9fnnprX/ystl17tBg0g4vv++/H+12cFly6jzFHFEjhARISdWqKoi0aEc2DMyXbrIMXXNjRCFysQtlZV0nezbRy5ugwfTYE9p+bUHYf1TujeXlACrVlEyopwcul5SUqhI/Ztv0jZKoap0Re7dm+Jet28n4ehIIhVHKCqi8+BL13Fqqqm7nC3U1pqKtZgYSvxirZi9JTp0IGuTJNHzISLCd2sQ2orSJVRZU69PH7qn8vNla5s3l99QJnlSJhtSuo/W1TlmKQRkkayGuXqbwsJoK0pXZb0e2LOHXn/8sanbpFarXgNRq7X+G8W5+uIListu29Z0Hw88ANx/v33H72q0WhKnhYWU7Kt1a/+/H5mAxqooDA4Ohl6vh+bKjVBeXg6tI+m7GcZTtG0LzJ5NcWnG4kJpKRw/njqBH3+U/69WmygmhjL/2eoWpkbLliQC9HrZCmZLhsJApEsX6pTr6pr3e/V6GpSGhdHArqqKBuv33gvcdBMlHkpNla0Xjta8E26jSvdm5UDywAGarb7xRnovsvOJgdR336kPVFq2pGu7qsp0MsQd/PEHLX1JFHbrRq6/9iab0enULQahoY4P+gE5A+n48WRJ8fXMorYgLIWA4eRbaiothShs0cKw4Lm30bo1/RUWAuvXU9tFRRlOyjgrCouLDTN3ShI9d0QJiM8+w5l33qG6ibfcYr/FWquVM+lWV5MQiolxvRgXHjYis6g3x+mNHEmu4idPsuso4/eYVXcNVwYqd955J+bOnYuysjK88cYbmDp1Ku67775mO0CGcQkiuF0509rYSANmYWUJD6dahb//TpYAwH1xBAkJ1KHn5cmDaRaF6nTpQqJGnKfmorqa2ki4C58+DaxebTix0LWr7PLmiCisr5fjEXfupKUkyWnfAboGk5LoGn74YXKzO32aBpszZhgOqo2JiqJzJyye7uTwYRpUduvm/u9yFVlZNFBXTgTZgk7nHrfOO+6geK3SUkoa0qqV67/D21BaCpWTbyJJyttvA599Rq773p6Iq317strt20dlNdq3NxSFItGMIwwbRss335Rd1X/4gZIarVpF917nzmhs1w5YsIBcSB0hKYmWly6RIO/e3bE6npbo1Uu2Sg4cCDzzjGv370piYmQXWW8WrwzjAsze6VOmTAEATJ48GfPnz8c999yDNm3a4PXXX0dmZqZTX/rtt98iMzMTPXv2xGFlQVQAK1asQEZGBsaNG4cdIh08wzhLp040+FBeU8JtT+kC06MHDaKFS5nYxtVxWSNG0PLXX2mAHxLieHyivyPEcnO7kApr3VVX0XL9enIN7NULWL6cBncjRzonCgsKKK4mPFzOHHjunFyXUCAGapmZNED76COa1LAWYyWu7eZwIT12jAS8Lw2cunYlUa2Mx7IFtZhCV6DRUMF2IRwCwVKofLYqX4trV0yaWJr88BYSE4G9e+l+693b1FLoaKIZgO6tJ5+kSUvRP4m45hMnyMrsjJVaIK65ixfpmWbs2ukKgoNJyK5eTdl5vYGDME4AACAASURBVL3vE5Mzau6yDONHmBWFkiJpQrdu3XD33Xdj+vTp6K5MOewg3bt3x5tvvonBgwcbrD9x4gSys7ORnZ2N9957D4sWLUJjY6PT38cw0Gopo5kyUF901soHvbByiOB6d1kK27WjjiY/n2KIOnTw/llwT9G5Mw12lHE6trB/v9x+jiDSy6el0XLtWlr+/e+UXfLnn2mW3hlRKGqCDR5M12NtrZykQhknKERhTAyJUlEqw1rKeXFtN0edR2+vI6eGRgNcfTUlxhD1AW3BnPuoK9Bq5ayHgeCuprRCKd0dNRrDpCzeHE8oSEyU3cFHjqTnvDIJ1c8/O1c3tH9/WqpNkLnK2iZE4aVL7hOFAAnDlBT37NvVtGxJS+UzmWH8kGBz/ygrK8MHH3xg9oMzZsxw+EtTRayAEVu2bEFmZiZCQ0ORnJyMTp06IScnBwNEUV+GcYbUVEoEIeoOqonCDh2oAxCiUAymXT0402howLB6Nb0fOtS1+/cnQkPp/OzYQWnXbUGno0LIKSnyObYXIQqTkig7XkkJuZIaZ4kV148jolBkEx04kBLDFBfLrsvPPUfp4BsaDL9z0iTZDVqIRXM0p6Xw/HnDOmW+wrhxJAp377Y9HrK21r1WPJGdMVAmioRFzXiS49VXaXJn0CCaOPF2lK7T7duTi+T69fTsEPe1MyW9hCgR97N4Rj34oOusbeK6FnHc7hKFvoQQhcrsuAzjh5gVhXq9HtWOZtNzkOLiYqSJWXkA8fHxKFarLWdEbW0t1070AXQ6nUfbKVyrRbxOh3ObN6O2Vy+0PHgQcTodCi9cQJ3iuBKjotCYk4Pi3FxE/e9/iKqtxekzZ1weV9Hh8mWE6HQAgEsaDUp99BpujnZtEx+PmB9+QP7u3dDb4MITcuYMOuh0wNGj+OPXXyE5EJsVefAgonU6/HHhAuIjIhCWn49LYWGq7dQxOBjVx47hgpXzcPmKFVCcr6hjxxCl06EoOBgJOh2K9uwBgoLodWEh9E8/jagvv8T5oCBIVz6j6dgRHSUJ9QkJKKyutjjIDDp/Hsk6Haq++QZlkZF2u5fZ3Lb19ehcWIiKhgZU+Np13K4dOun1uHjgAMpE/KgVOhQXo16jQYmbfmuYVosEnQ5Vej3K3PAdnn4WGxP0t78huKQEtcIdUhAdDYweTa/FRJ0XE9yqFZJ0OlQPH47zubkIbtsWSbW1KF+5EnUpKYjX6XDp+utVnyHGzwZVGhrQWadDxdGjqMjNReKhQ9B364aiYcOangPOtq22shIddTpc3LIFrXU6nL90CdVedK14gnbFxYjQ6VB2+TKqPHQuvO2eZVyDt7WrWVEYGxuLhx56yOEdT58+HaWiiKuC+fPnY4yogWOEpOJWobEh/W+LFi3QS1lDh/FKcnNzPdtOkZHAa68hBSAXvKNHgbAwpA4aZJjsoHt3ID8fMb16kYtnbCx62Zva2xZefRWYNg0AEJ6WhlgfvYabpV3r64E1a9CjtpbabvNmqof18svqRZJLS5sSgfQEDGts2cr69UC7dug5YABZ5PLyEH7NNertlJSEViEhiLPyPS2vzDg3na+WLYF27dBl+HAgLAxdWrWigXBYGLr07EmWyawsmMzV//gjEBKCyPBwy78hJQUIC0P4tm2Ir6kB3nrLtt9+BZvb9sABIDQU4TfcgPa+eB2npqJlfT3i7Tn2Ll3Q1l2/tWdPICIC4aNGId5aGzuAx5/F/kqvXsD27Qhv0wbtgoPp/VVXIby4mNo0LAzhzz2HWGV/cwWTZ4M54uIQHh6O9t26kQVy6lREKz7jdNtKEtC2LcILC4GwMHQcMMCx56c/UV8PhIWhwzXXoIOHzgXfs/6JO9rVGZFpVhSqCTR7WLVqld2fSUhIQJGiwHhxcTHi4uKcOg6GaSIhgUReTg4F0Ys6gcZJZOLigF9+odeVle6L6+ndm7LELVkiJ55h1OnZk+KLDh2iLJzffUdtuHOnuihU1u1SPFPs4vx5uhYAcjHcvl1OOmNMmzaOxS9evEifFbF4xcWyq5Kl7Ja2XpPKuLe9eym5w/Tp9h+nNUQyEHdMnjQH3boBBw/avn1lpeuTTynRaOQSJIxvYexi2LcvPa+ioujedtYdU7jalpaSa7mrS8BoNLRPMbD0hQQ/7qZfP5r4UniyMYw/YtYfzhFR5yzp6enIzs5GXV0dzpw5g9OnT6Ofje48DGMVrZbExYYNlNb700/JKmPsUpeUROUILlygwZ87M47dcgtZpHgG0DKhoSTIRJZIIUKOHVPfvrBQdve1wQVdlZIS2YI8bhy1k7nalFFRjiVzEeKiRQvaR1GRHHvkjkQm//qXc4kuzHH+PJ1vX40/Skuj9rblWtHpKNbKnaKQ8R9uuomSR337LfU/zoYhREVRXU0RT6hidXQaUVweYFEIUJ3j777je57xe8w+naLcOBDetGkTrrvuOhw4cAD3338/Zs6cCYCynI4fPx4TJkzAvffei4ULFyIoUALtmeZBmeSork49W6IQaLm5hsXt3YFGYz2DJEP06EHlOySJBvAAiUK1wuwFBZTCPSbGsqWwtNR8jbrz5w0HXJbaqU0bx0ShSHoE0LWoTDTjalH4xBNkWVBx63ea0lIaPLq6nllzISYfX3uNlg0NwMKFwF/+Ynp9uSsjMeOf9Ool3xeiNp8zREe7XxSKMkCdOvF1DlCmVBbHTABg1n3UnWRkZCAjI0P1f7Nnz8bs2bOb+YiYgOG++2jQ/fXX9F5NFIqMjiUlJAq7dm2+42PMk5hIM+6nT5Og79mTRGF+vjyIEZw9Sxk7W7SwLAr/+ldySV23jvYvBm96PQkdW93XIyMdcx+trJTFZnw8ZSN1tSj89lsS0nl59L6gwPUDyaIi3x409ehB7ro5OfR+/35g40Z6ffCgoYWYRSFjDyEhlDl1715yJXWW6GjKPiyyHbsjI+bQoVQ/8LrrXL9vhmG8Fh+d1mUYB4mOpnpOwmVUTRSK4tsXL7rfUsjYjijL8O23tBQTS6I8g0CSyH00KYniSC2JQlG3cuFCYPhwGghJEg249HrbxVNkJFBTQ2LVHpSWwuRk4PhxYOlSeu8qURgbS+LWXTULJYkyQ/ry5IlWSxNGxcV034vi4ACwZo3htqKOpIj9ZBhrvPAC3dfp6c7vS1gKxeSE6K9cSb9+9Cx88EHX75thGK+FRSETeGg08oAuIcH0/y1akLvI+fMUP8Si0DsYMoRi1t5/n+q33Xwztc2uXYbbVVWRQEtIkEWhWhxdQQHQ2Eivc3LIZfDdd2lWXyT5MK5JaA4Ra2KPtVCvNxSFxlmZLSWacQRHjtEWyspo8sQXiotbQojaEydIFEZGAmPHkiVZyccf05JFIWMr0dEkCINd4JzVrh09twoKaH92lpmxmYEDycrJMEzAwKKQCUxEqRM1S6FGQwP1ggJ6z6LQOwgLA6ZModepqdRGw4dT8hml6BOFnWNiSBTW1JD1x5i9e2m5YgVlNJ082XQbW4uxC2FnjxXu8mUShuKzxplNXR2fJ0ShqwvZi9gmtXvJlxCFx48fJ8tn9+6UTbWkRHbVA+QYVBaFjCcQ3gunTlGheRvKdjEMw9gCi0ImMBk/npbXXKP+/4gIYPdues2i0HsQ8TMi7rNPH8oSO3euvI0QPVFRsiX43DnTff3vfySUBg4Eli0z3IfA1myaQnDZIwrFtsrYtHXrbP+8vYSHk2XB1ZZCdya8aE5iY6ktfv+dLIXduslJp44epaXSPZhFIeMJxOTLyZPUTzEMw7gIFoVMYDJ3LhVANyf4QkJk10IWhd7DqFEkBB96iN6PHUvLPXuAlSuB+fOpqD1A7da9O82kb9pkuq+iIhKNYqY9MpI++9VX8ja2zsI7IgpFFlClmBJi1x1oNCSqXZ19VIhCX040A9D56doV2LKFkv0IUdiqFcWD7dpFExACFoWMJxDPi8uX3RNPyDBMwMKikAlMQkIsi70775Rfc20i76FtW+DDD+WCzdHRVD8QIDfQnTvlLJtt2pDIGj0a+OIL07jC4mJTl8dx42jfS5dS7KKtWIrX27sXuO02YNs2w/WirIaahc1dFoDERErC40ouXaKlP2Tj7NtXdjVOTSXr6vXX0zl7+GH6E7AoZDxB27aya7k/3HMMw3gNLAoZRo20NPk11xH0btq3V7ewiXa76ioSLkK8CC5cMG/dSk+Xa9fZgqWYwh9+IKH62GOGx2DO7fLbb4FvvrH9u+3BHaLQXXUVPUH//vJrkWRIGespJhwA//i9jO8RFCQ/t3w9jpdhGK+CRSHDqJGcLL92dRZIxvU89xwwcaL8/qGHZNdPIbqECAPIalhV5TorcHg4WZ/VRGFurhzbqPx/YSF9zni2X8S2uYN27QyTprgCnY4yIPpq4XolyrIaog0mTgReeQX485/pfVQUsHo1J/hgPEdqKi394Z5jGMZr8EjxeobxerRaSvoh4goZ72bAAPo7eZLqFopMkoA8q15aCqSk0OuaGsr86aqYHJGx1th9tK6Ojunuu4HvvzcUpvn5NPnQnOKidWs6ptpa11m6dDr/mThJSCDrS1qa3C6hocANN9Df6NFkgfb1+EnGt3n8ceCWW4Brr/X0kTAM40ewKGQYc7gz6QfjHt5/nwSfMiZPzVIo4sZcmaghMtK03MPx4zSx0LMncPiwXAYDoIyoXbq47vttQVi/qqpcly3Un0ShVgt8/bX5enLGZUMYxhN07Ajs28eWQoZhXAo/URiG8R+CgkyTtAirjpoodKWbZrt2ppk9RSmD3r3JNbGmRk54U15OiXKaEyGC1eo2Ooo/iULANQXGGcbdsCBkGMbF8FOFYRj/JjycygooRaFw83SlpTAuTs4oKjhzhr4/Pp7KG+j1JKL0ejqG5i53YilLKkClO/bts2+f/iYKGYZhGCYAYVHIMIz/0749JXwRiCygrhaFpaUk+AQVFWQN1GjIWghQfbGLF2m75haFwjKplmzm5ElgwQLgwQfNx9Lm5gJ33QWcOkXvCwuBn35iUcgwDMMwPg6LQoZh/J8xY4CcHFkMusNSGBtLYkopuCoqZOHXsSO5JlZVkeso0Pw1MOPiaFlcbPq/r76SXxcUqH/+889JGM6ZQ+/vvdf8/hiGYRiG8RlYFDIM4/+IYvdCvLgjplAILqULqVIUarX0urJSjjUU2VCbi8hIyqapJuLOnZNfT5lCWUqNEZ8rKaHsqULc3n+/64+VYRiGYZhmg0UhwzD+j6gTaCwKjZPSOIMQhcrYxcpKQ2tg69ZkTVy/nkpCdO/uuu+3BY2G4huNYx8BcgUdOpRe6/XAzp2m25SUyG6wO3dSbcapUw1rRDIMwzAM43OwKGQYxv8xdpu8eJGSz7gyg198vOF3AOSu2qqV/L5lS1r+8gtlK/VEBsH4eKCoyHR9URFZVEWNxyNHDP8vSSQKBwyg4tnr11N8pCutrQzDMAzDeAQWhQzD+D+xsSTAhGCrqnK9mImOJtfMwkJ53eXLshAEyDoohGDbtq79fluJjzd1H718mQRsQgLw6ack+k6eNNzm4kUqeh8XR9bB48dpPYtChmEYhvF5WBQyDOP/BAWRZU5pKXRlkhmAXDMTE2VRWF9Pf0pLoUYjZ+r0lChMSCAX14YGeZ1wJ42LI9HatSuQl2f4ObFNbCy5i4aH03tXn0eGYRiGYZodFoUMwwQGcXGy26Q7RCFA7pdCTNXU0FJpKQRkMRUb6/rvt4XkZIoZVFo0laIQIEvhuXPQiN9gvI1GQ+UrOnem+osMwzAMw/g0LAoZhgkMEhPlDJvuEoW9egF//EHumNXVtE5pKQQoOQvg2iQ39iAysZ45I68TFlQRF5mcDAAIVibNEa+FcJwwAfjiCxKGDMMwDMP4NCwKGYYJDBITyVKo17snphAgC5skycIQMLUUivfNXY5CkJREy/x8eZ3SNRRoypgaJOo6qm3DMAzDMIzfEOzpA2AYhmkWEhMpjm71ahI47nIfBcgKJ8pgGIvC6Gjg7bc953YZHU3WS2NLoUiUAzSJQq0o3QGQpTA6WrZ0MgzDMAzjN7ClkGGYwCAxkZbLltGyUyfXf0dyMiWS2bkTKC2lde3amW7XuzfF5XkCjYYsmocPy+tKSmS3UEAWhUpLYXGx4TYMwzAMw/gNLAoZhgkMhCgUDBzo+u9o0QLIygI2byYXUkBdFHqaa68FcnOBykp6bywKr7jWGriPnj/PopBhGIZh/BQWhQzDBAYdOpAYuv9+4Oef3ZcgZdw4oK4OeOstsspFRbnne5yhRw9ailqExlbA8HCgZUsECWsnQMKR4wkZhmEYxi/xiCh8+eWXceONNyIrKwtz5sxBVVVV0/9WrFiBjIwMjBs3Djt27PDE4TEM448EBQHLlwP33SfHzrmDfv1k0ZWeLher9ya6dqXl//5HBekrK+XMowCJ2eRkhIgSHnV1QEUFWwoZhmEYxk/xyGhlxIgR2LBhA9avX4/OnTtjxYoVAIATJ04gOzsb2dnZeO+997Bo0SI0NjZ64hAZhmEcQ6sFPvgA+Oor4OWXPX006sTFkTvtpk1yOQpjwdexI0JECQ9hMWRRyDAMwzB+iUdE4ciRIxEcTIlP+/fvj6Irs9FbtmxBZmYmQkNDkZycjE6dOiEnJ8cTh8gwDOM4oaFyJlJv5eabgZwcYNcuem8s+JKTqU5hQ4N54cgwDMMwjF/g8ZIUX375JcaPHw8AKC4uRlpaWtP/4uPjUSwGIxaora1Fbm6u246RcQ06nY7byQ/hdrWdy1dqF3rD+QpJTkYHnQ548UUAQL5GA73iuCI0GrRtaEDBW29B36oVYnU6nK2qQr0XHDvjHHzPeh+uejZw2/on3K7+ibe1q9tE4fTp01GqTFJwhfnz52PMmDEAgHfeeQdBQUGYOHEiAECSJJPtNTakbW/RogV6earmF2Mzubm53E5+CLer7bS8UrPQK85Xjx5UPgMA7rgDPQYPNvx/fDxq3noLSefOAX37AmFh6DpsmHvqOzLNCt+z3oerng3ctv4Jt6t/4o52dUZkuk0Urlq1yuL/165di23btmHVqlVNwi8hIaHJlRQgy2EcuysxDMO4Hq0WWLyYEshMnWr6/5gYXB40COEnT5LbaHg4EBHR/MfJMAzDMIzb8UhM4fbt27Fy5Uq88847CA8Pb1qfnp6O7Oxs1NXV4cyZMzh9+jT69evniUNkGIbxfyZMUBeEV6jt1g04dYoK3cfGUlZShmEYhmH8Do/EFD7//POoq6vDjBkzAABpaWlYvHgxunXrhvHjx2PChAkICgrCwoULERQU5IlDZBiGCXiqhw0D1q4lUThokKcPh2EYhmEYN+ERUbhp0yaz/5s9ezZmz57djEfDMAzDqNHQvj3QvTvw++9AcrKnD4dhGIZhGDfhhVWVGYZhGK/hSiIwDB/u2eNgGIZhGMZteLwkBcMwDOPF3H47MHIkkJTk6SNhGIZhGMZNsKWQYRiGMY9Gw4KQYRiGYfwcFoUMwzAMwzAMwzABDItChmEYhmEYhmGYAIZFIcMwDMMwDMMwTADDopBhGIZhGIZhGCaAYVHIMAzDMAzDMAwTwLAoZBiGYRiGYRiGCWBYFDIMwzAMwzAMwwQwLAoZhmEYhmEYhmECGBaFDMMwDMMwDMMwAQyLQoZhGIZhGIZhmACGRSHDMAzDMAzDMEwAw6KQYRiGYRiGYRgmgGFRyDAMwzAMwzAME8BoJEmSPH0QznLw4EG0aNHC04fBMAzDMAzDMAzjEWpra9G/f3+HPusXopBhGIZhGIZhGIZxDHYfZRiGYRiGYRiGCWBYFDIMwzAMwzAMwwQwLAoZhmEYhmEYhmECGBaFDMMwDMMwDMMwAQyLQoZhGIZhGIZhmACGRSHDMAzDMAzDMEwAw6IwgDl37hzuuusujB8/HpmZmfjwww8BABUVFZgxYwbGjh2LGTNmoLKyEgBw8uRJ3H777ejbty/+/e9/N+0nLy8PkyZNavobOHAgVq1apfqdCxYswLBhw3DTTTcZrH/55Zdx4403IisrC3PmzEFVVZXq580dW2VlJebMmYOsrCz86U9/wu+//+7s6fFZfLFdzW2Xk5PT9P0TJ07Epk2bnD09Po2r2hYAVq1ahczMTNx000149NFHUVtbq/qda9euxdixYzF27FisXbu2af3y5csxatQoDBgwwOIxHzlyBFlZWcjIyMALL7wAZRWkjz/+GOPGjUNmZiaWLl3q0DnxB3ytXWtqajBr1izceOONyMzMxLJly5r+V1dXh/nz5yMjIwNTpkxBQUGBw+fFH/CWtrXUZsaYu2dfe+01ZGVlYdKkSbjnnntQXFzs9PnxVXyxXc3d2y+99FJTPztu3DgMGjTI4fPi63hLuwLAzJkzMXHiRGRmZmLhwoVobGxU/fz27dsxbtw4ZGRk4N13321a/9RTT2HixInIysrCvHnzUF1dbf0ESEzAUlxcLB05ckSSJEm6ePGiNHbsWOn48ePSyy+/LK1YsUKSJElasWKFtHTpUkmSJKm0tFQ6dOiQ9I9//EN67733VPfZ0NAgDR8+XCooKFD9/759+6QjR45ImZmZBut37Ngh1dfXS5IkSUuXLm36TmPMHdvf//536c0335QkSZJOnDghTZs2zebz4G/4Yrua2+7y5ctN64uLi6WhQ4c2vQ9EXNW2RUVF0g033CDV1NRIkiRJ8+bNk7788kuT7ysvL5fS09Ol8vJyqaKiQkpPT5cqKiokSZKkAwcOSMXFxVL//v0tHvOtt94q7d+/X9Lr9dLMmTOlbdu2SZIkSbt375buvvtuqba2tulYAxVfa9fLly9Lu3fvliRJkmpra6U77rijqV0/+eQT6dlnn5UkSZI2bNggPfzww06dG1/HW9rWUpsZY+6evXjxYtM2H374YVM7ByK+2K623NsfffSR9OSTTzpwRvwDb2lX8f2SJEl6vV566KGHpA0bNph8vqGhQRo9erSUn58v1dbWSllZWdLx48cNPi9JkvTSSy81Hb8l2FIYwMTFxaFPnz4AgIiICKSkpKC4uBhbtmzB5MmTAQCTJ0/G5s2bAQBt27ZFv379EBwcbHafu3fvRnJyMjp06KD6/8GDByMyMtJk/ciRI5v2279/fxQVFal+3tyxnTx5EkOHDgUApKam4uzZsygtLbV6DvwRX2xXc9uFh4c3ra+trYVGo7H6+/0ZV7ZtY2MjdDodGhoaoNPpEBcXZ7LNzp07MWLECERFRSEyMhIjRozAjh07AFA7qX1GSUlJCS5duoQBAwZAo9Fg8uTJ2LJlCwDg888/x6xZsxAaGtp0rIGKr7VreHh40/M2NDQUvXv3brIabd26FTfffDMAYNy4cdi9e7eBdTjQ8Ja2tdRmSizdsxEREU3b1dTUBPTz2NfaFbDt3s7Ozjbx+AkkvKVdxfcDQENDA+rr61Xvt5ycHHTq1AnJyckIDQ1FZmamyf0qSRJ0Op1Nv59FIQMAKCgoQG5uLtLS0nDhwoWmizcuLg5lZWU278cVD5Qvv/wS1113ner/zB1bz549m1wLc3JyUFhYaFaABBK+0q6Wtjt06BAyMzMxceJELFq0yKJ4DSScadv4+Hjcc889uOGGGzBy5EhERERg5MiRJtsVFxcjISHB4HP2uIwZfz4hIaHp86dPn8avv/6KKVOm4M9//jNycnJs3q8/4wvtqqSqqgo//vgjhg0b1rTv9u3bAwCCg4PRunVrlJeXO7Rvf8Nb2ta4zSx9XnnPArIL4vr16/Hwww/b9sP9HF9oV1s4e/YsCgoKmkRmoOMN7Tpz5kwMHz4crVq1wrhx4+z+/IIFCzBixAjk5eXhrrvusvqbWRQyqK6uxrx58/DUU08ZzATaS11dHbZu3Yobb7zR4X288847CAoKwsSJE+363KxZs1BVVYVJkybh448/Rq9evQJePPhiu6ptl5aWhuzsbHzxxRdYsWKFWb/8QMLZtq2srMSWLVuwZcsW7NixAzU1Nfj6669NtlOz8NhjHbD0+cbGRlRVVWH16tV44oknMH/+/IC2KAG+066ChoYGPProo7jrrruQnJzs0n37G97StmptZs/nH3nkEfz000/IysrCJ598Yvfv8Dd8pV1tITs7G+PGjUNQUJBDn/cnvKVd//3vf2Pnzp2oq6vDnj177P78kiVLsGPHDqSmpmLjxo1Wj5tFYYBTX1+PefPmISsrC2PHjgVA5vCSkhIA5EoSExNj0762b9+OPn36oF27dgAoYFcEL3/++edWP7927Vps27YNy5Yta7qoFyxYgEmTJuG+++6zeGwRERFYsmQJvv76ayxduhTl5eVISkqy40z4F77Wrua2U5Kamorw8PCATiIEuKZtf/75ZyQlJSEmJgYhISEYO3YsDhw4gEOHDjW17ZYtW5CQkGBgcS8uLrboftTY2Nj0+ddff93k80VFRU2fj4+PR0ZGBjQaDfr16wetVhvQFiVfalfBs88+i86dO2P69OlN6xISEnDu3DkANFC9ePEioqKi7D4f/oQ3ta1xm9lzzyq56aab8MMPPzh8TvwBX2pXW9i4cSMyMzPtOQV+iTe1KwC0aNEC6enp2LJli8n4y5bPBwUFYcKECTbdr4FtSglwJEnC008/jZSUFMyYMaNpfXp6OtatW4dZs2Zh3bp1GD16tE37y87ONnigtG/fXnVmRI3t27dj5cqV+OSTTxAeHt60fsmSJQbbmTu2qqoqhIWFITQ0FGvWrMGgQYOcso75Mr7Yrua2O3PmDNq3b4/g4GCcPXsWp06dMhvXGAi4qm0TExNx6NAh1NTUICwsDLt370bfvn2RlpZm0LYVFRX4xz/+0ZRpbefOnXj00UfN7jcoKMjk2mjVqhUOHjyItLQ0rFu3rsmFZcyYMdizZw+uueYanDp1CvX19YiOjrb7nPgDvtiuy5cvx6VLl/Diiy8arE9PT8fatWsxYMAAfP/99xg6dGhAWwq9/I45agAAArZJREFUqW3V2syee/b06dPo3LkzAIodTUlJcfzE+Di+2K6WyMvLQ1VVldVs0v6Ot7RrdXU1qqurERcXh4aGBvz0008YNGiQyfiroaEBp0+fxpkzZxAfH4/s7Gy8+uqrkCQJ+fn56NSpEyRJwo8//mjT/aqRAt1fJ4D59ddfceedd6J79+7Qaslo/Oijj6Jfv36YP38+zp07h/bt2+P1119HVFQUzp8/j1tvvRWXLl2CVqtFy5YtsXHjRkRERKCmpgbXX389Nm/ejNatW5v9zkcffRT79u1DeXk52rZti7lz52LKlCnIyMhAXV1d04xyWloaFi9ebPL58vJy1WM7cOAA/vrXv0Kr1aJr16548cUXVROfBAK+2K7mtlu3bh1WrlyJ4OBgaLVazJkzB2PGjHHDWfMNXNm2b7zxBjZu3Ijg4GD06tULL774YlPSFyXCbRcAHnjgAdx6660AgKVLl2LDhg0oKSlBXFwcpkyZgrlz55p8/vDhw1iwYAF0Oh2uu+46PPvss9BoNKirq8NTTz2FY8eOISQkBE888YTDsTC+jq+1a1FREUaNGoWUlJSmff/5z3/GlClTUFtbi8cffxy5ubmIjIzE8uXLHXZn8we8pW0ttZkx5u7ZuXPn4tSpU9BoNOjQoQMWLVqE+Ph4N54978UX29XSvf3mm2+itrYWjz32mLtOmU/gLe1aWlqK+++/H3V1ddDr9Rg6dCgWLFigGhb1008/4aWXXkJjYyNuvfVWzJ49G3q9HlOnTkV1dTUkSUKPHj2waNEiq8YSFoUMwzAMwzAMwzABDMcUMgzDMAzDMAzDBDAsChmGYRiGYRiGYQIYFoUMwzAMwzAMwzABDItChmEYhmEYhmGYAIZFIcMwDMMwDMMwTADDopBhGIZhGIZhGCaAYVHIMAzDMAzDMAwTwPx/E4OzDuBiKI8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,10))\n",
    "fig.suptitle(\"Comparing 2016, 2017 and 2018 winter temperatures in Toronto\",fontsize=16)\n",
    "\n",
    "### Set up a plot with subplots (rows, columns, active plot)\n",
    "ax1 = plt.subplot(311)\n",
    "plt.plot(winter_2016['Date/Time'], winter_2016['Temp (°C)'],'g', alpha=0.8,label='Winter2016')\n",
    "plt.axvline(datetime(2016, 1, 1),color='k')      # January 1st vertical line\n",
    "plt.axvline(datetime(2016, 2, 1),color='k')      # February 1st vertical line\n",
    "plt.ylabel('Temp (°C)')\n",
    "plt.legend()\n",
    "\n",
    "ax2 = plt.subplot(312, sharey=ax1)\n",
    "plt.plot(winter_2017['Date/Time'], winter_2017['Temp (°C)'],'b', alpha=0.8,label='Winter2017')\n",
    "plt.axvline(datetime(2017, 1, 1),color='k')      # January 1st vertical line\n",
    "plt.axvline(datetime(2017, 2, 1),color='k')      # February 1st vertical line\n",
    "plt.ylabel('Temp (°C)')\n",
    "plt.legend()\n",
    "\n",
    "ax3 = plt.subplot(313, sharey=ax1)\n",
    "plt.plot(winter_2018['Date/Time'], winter_2018['Temp (°C)'],'r', alpha=0.8,label='Winter2018')\n",
    "plt.axvline(datetime(2018, 1, 1),color='k')       # January 1st vertical line\n",
    "plt.axvline(datetime(2018, 2, 1),color='k')       # February 1st vertical line\n",
    "plt.ylabel('Temp (°C)')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the coldest Christmas was last year  (up to -20°) - and the warmest in 2016 - spike of temperature up to +12°. There was the coldest February in 2016 - up to -25°."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 align='center'>Conclusion</h2>\n",
    "\n",
    "In this notebook we explored  ways working with open data. - historical weather data.\n",
    "\n",
    "We first pulled raw html pages and then converted them in a tabular form using pandas dataframes.   \n",
    "We got station id for specific city and pulled hourly data for this location.\n",
    "\n",
    "We explored plotting data using matplotlib (hourly and daily averages).\n",
    "We plotted data for 3 winters and compared them.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![alt text](https://github.com/callysto/callysto-sample-notebooks/blob/master/notebooks/images/Callysto_Notebook-Banners_Bottom_06.06.18.jpg?raw=true)"
   ]
  }
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